Successfully refactored two major tab components to use react-i18next: - ExecutiveSummaryTab: All metrics, benchmarks, findings, tooltips, industry names - DimensionAnalysisTab: All dimension analyses, findings, causes, recommendations Added 140+ comprehensive translation keys to es.json and en.json: - executiveSummary section: metrics, benchmarks, tooltips, percentiles - dimensionAnalysis section: findings, causes, recommendations for all 6 dimensions - industries section: all industry names - agenticReadiness section: extensive keys for future use (400+ keys) Note: AgenticReadinessTab refactoring deferred due to file complexity (3721 lines). Translation keys prepared for future implementation. Build verified successfully. https://claude.ai/code/session_4f888c33-8937-4db8-8a9d-ddc9ac51a725
1295 lines
53 KiB
TypeScript
1295 lines
53 KiB
TypeScript
import React from 'react';
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import { useTranslation } from 'react-i18next';
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import { TrendingUp, TrendingDown, AlertTriangle, CheckCircle, Target, Activity, Clock, PhoneForwarded, Users, Bot, ChevronRight, BarChart3, Cpu, Map, Zap, Calendar } from 'lucide-react';
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import type { AnalysisData, Finding, DrilldownDataPoint, HeatmapDataPoint } from '../../types';
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import type { TabId } from '../DashboardHeader';
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import {
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Card,
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Badge,
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SectionHeader,
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DistributionBar,
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Stat,
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} from '../ui';
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import {
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cn,
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COLORS,
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STATUS_CLASSES,
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getStatusFromScore,
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formatCurrency,
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formatNumber,
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formatPercent,
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} from '../../config/designSystem';
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interface ExecutiveSummaryTabProps {
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data: AnalysisData;
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onTabChange?: (tab: TabId) => void;
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}
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// ============================================
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// BENCHMARKS DE INDUSTRIA
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// ============================================
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type IndustryKey = 'aerolineas' | 'telecomunicaciones' | 'banca' | 'utilities' | 'retail' | 'general';
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interface BenchmarkMetric {
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p25: number;
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p50: number;
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p75: number;
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p90: number;
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unidad: string;
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invertida: boolean;
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}
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interface IndustryBenchmarks {
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nombre: string;
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fuente: string;
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metricas: {
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aht: BenchmarkMetric;
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fcr: BenchmarkMetric;
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abandono: BenchmarkMetric;
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cpi: BenchmarkMetric;
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};
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}
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const BENCHMARKS_INDUSTRIA: Record<IndustryKey, IndustryBenchmarks> = {
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aerolineas: {
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nombre: 'Aerolíneas',
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fuente: 'COPC 2024, Dimension Data Global CX Report 2024',
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metricas: {
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aht: { p25: 320, p50: 380, p75: 450, p90: 520, unidad: 's', invertida: true },
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fcr: { p25: 55, p50: 68, p75: 78, p90: 85, unidad: '%', invertida: false },
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abandono: { p25: 2, p50: 5, p75: 8, p90: 12, unidad: '%', invertida: true },
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cpi: { p25: 2.20, p50: 3.50, p75: 4.50, p90: 5.50, unidad: '€', invertida: true }
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}
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},
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telecomunicaciones: {
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nombre: 'Telecomunicaciones',
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fuente: 'Contact Babel UK Report 2024, ICMI Benchmark Study',
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metricas: {
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aht: { p25: 380, p50: 420, p75: 500, p90: 600, unidad: 's', invertida: true },
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fcr: { p25: 50, p50: 65, p75: 75, p90: 82, unidad: '%', invertida: false },
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abandono: { p25: 2, p50: 6, p75: 10, p90: 15, unidad: '%', invertida: true },
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cpi: { p25: 2.50, p50: 4.00, p75: 5.00, p90: 6.00, unidad: '€', invertida: true }
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}
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},
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banca: {
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nombre: 'Banca & Finanzas',
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fuente: 'Deloitte Banking Benchmark 2024, McKinsey CX Survey',
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metricas: {
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aht: { p25: 280, p50: 340, p75: 420, p90: 500, unidad: 's', invertida: true },
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fcr: { p25: 58, p50: 72, p75: 82, p90: 88, unidad: '%', invertida: false },
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abandono: { p25: 1, p50: 4, p75: 6, p90: 10, unidad: '%', invertida: true },
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cpi: { p25: 2.80, p50: 4.50, p75: 6.00, p90: 7.50, unidad: '€', invertida: true }
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}
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},
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utilities: {
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nombre: 'Utilities & Energía',
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fuente: 'Dimension Data 2024, Utilities CX Benchmark',
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metricas: {
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aht: { p25: 350, p50: 400, p75: 480, p90: 560, unidad: 's', invertida: true },
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fcr: { p25: 52, p50: 67, p75: 77, p90: 84, unidad: '%', invertida: false },
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abandono: { p25: 2, p50: 6, p75: 9, p90: 14, unidad: '%', invertida: true },
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cpi: { p25: 2.00, p50: 3.30, p75: 4.20, p90: 5.20, unidad: '€', invertida: true }
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}
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},
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retail: {
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nombre: 'Retail & E-commerce',
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fuente: 'Zendesk CX Trends 2024, Salesforce State of Service',
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metricas: {
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aht: { p25: 240, p50: 300, p75: 380, p90: 450, unidad: 's', invertida: true },
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fcr: { p25: 60, p50: 73, p75: 82, p90: 89, unidad: '%', invertida: false },
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abandono: { p25: 1, p50: 4, p75: 7, p90: 12, unidad: '%', invertida: true },
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cpi: { p25: 1.60, p50: 2.80, p75: 3.80, p90: 4.80, unidad: '€', invertida: true }
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}
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},
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general: {
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nombre: 'Cross-Industry',
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fuente: 'Dimension Data Global CX Benchmark 2024',
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metricas: {
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aht: { p25: 320, p50: 380, p75: 460, p90: 540, unidad: 's', invertida: true },
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fcr: { p25: 55, p50: 70, p75: 80, p90: 87, unidad: '%', invertida: false },
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abandono: { p25: 2, p50: 5, p75: 8, p90: 12, unidad: '%', invertida: true },
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cpi: { p25: 2.20, p50: 3.50, p75: 4.50, p90: 5.50, unidad: '€', invertida: true }
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}
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}
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};
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function calcularPercentilUsuario(valor: number, bench: BenchmarkMetric): number {
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const { p25, p50, p75, p90, invertida } = bench;
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if (invertida) {
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// For inverted metrics (lower is better, like AHT, CPI, Abandono):
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// p25 = best performers (lowest values), p90 = worst performers (highest values)
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// Check from best to worst
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if (valor <= p25) return 95; // Top 25% performers → beat 75%+
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if (valor <= p50) return 60; // At or better than median → beat 50%+
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if (valor <= p75) return 35; // Below median → beat 25%+
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if (valor <= p90) return 15; // Poor → beat 10%+
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return 5; // Very poor → beat <10%
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} else {
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// For normal metrics (higher is better, like FCR):
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// p90 = best performers (highest values), p25 = worst performers (lowest values)
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if (valor >= p90) return 95;
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if (valor >= p75) return 82;
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if (valor >= p50) return 60;
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if (valor >= p25) return 35;
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return 15;
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}
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}
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// ============================================
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// PRINCIPALES HALLAZGOS
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// ============================================
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interface Hallazgo {
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tipo: 'critico' | 'warning' | 'info';
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texto: string;
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metrica?: string;
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}
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function generarHallazgos(data: AnalysisData, t: any): Hallazgo[] {
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const hallazgos: Hallazgo[] = [];
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const allQueues = data.drilldownData?.flatMap(s => s.originalQueues) || [];
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const totalVolume = allQueues.reduce((s, q) => s + q.volume, 0);
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// AHT promedio ponderado por volumen (usando aht_seconds = AHT limpio sin noise/zombies)
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const heatmapVolume = data.heatmapData.reduce((sum, h) => sum + h.volume, 0);
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const avgAHT = heatmapVolume > 0
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? data.heatmapData.reduce((sum, h) => sum + h.aht_seconds * h.volume, 0) / heatmapVolume
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: 0;
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// Alta variabilidad
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const colasAltaVariabilidad = allQueues.filter(q => q.cv_aht > 100);
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if (colasAltaVariabilidad.length > 0) {
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const pctVolumen = (colasAltaVariabilidad.reduce((s, q) => s + q.volume, 0) / totalVolume) * 100;
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hallazgos.push({
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tipo: 'critico',
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texto: t('executiveSummary.highVariabilityQueues', { count: colasAltaVariabilidad.length, pct: pctVolumen.toFixed(0) }),
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metrica: 'CV AHT'
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});
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}
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// Alto transfer
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const colasAltoTransfer = allQueues.filter(q => q.transfer_rate > 25);
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if (colasAltoTransfer.length > 0) {
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hallazgos.push({
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tipo: 'warning',
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texto: t('executiveSummary.highTransferQueues', { count: colasAltoTransfer.length }),
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metrica: 'Transfer'
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});
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}
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// Bajo FCR (usar FCR Técnico para consistencia)
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const colasBajoFCR = allQueues.filter(q => (q.fcr_tecnico ?? (100 - q.transfer_rate)) < 50);
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if (colasBajoFCR.length > 0) {
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hallazgos.push({
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tipo: 'warning',
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texto: t('executiveSummary.lowFCRQueues', { count: colasBajoFCR.length }),
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metrica: 'FCR'
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});
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}
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// AHT elevado vs benchmark
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if (avgAHT > 400) {
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hallazgos.push({
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tipo: 'warning',
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texto: t('executiveSummary.ahtAboveBenchmark', { aht: Math.round(avgAHT) }),
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metrica: 'AHT'
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});
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}
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// Colas Human-Only
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const colasHumanOnly = allQueues.filter(q => q.tier === 'HUMAN-ONLY');
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if (colasHumanOnly.length > 0) {
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const pctHuman = (colasHumanOnly.reduce((s, q) => s + q.volume, 0) / totalVolume) * 100;
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hallazgos.push({
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tipo: 'info',
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texto: t('executiveSummary.humanOnlyQueues', { count: colasHumanOnly.length, pct: pctHuman.toFixed(0) }),
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metrica: 'Tier'
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});
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}
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// Oportunidad de automatización
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const colasAutomate = allQueues.filter(q => q.tier === 'AUTOMATE');
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if (colasAutomate.length > 0) {
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hallazgos.push({
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tipo: 'info',
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texto: t('executiveSummary.automateReadyQueues', { count: colasAutomate.length }),
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metrica: t('executiveSummary.opportunity')
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});
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}
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return hallazgos.slice(0, 5); // Máximo 5 hallazgos
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}
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function PrincipalesHallazgos({ data }: { data: AnalysisData }) {
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const { t } = useTranslation();
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const hallazgos = generarHallazgos(data, t);
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if (hallazgos.length === 0) return null;
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const getIcono = (tipo: string) => {
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if (tipo === 'critico') return <AlertTriangle className="w-4 h-4 text-red-500" />;
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if (tipo === 'warning') return <AlertTriangle className="w-4 h-4 text-amber-500" />;
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return <CheckCircle className="w-4 h-4 text-blue-500" />;
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};
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const getClase = (tipo: string) => {
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if (tipo === 'critico') return 'bg-red-50 border-red-200';
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if (tipo === 'warning') return 'bg-amber-50 border-amber-200';
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return 'bg-blue-50 border-blue-200';
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};
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return (
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<Card>
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<h3 className="font-semibold text-gray-900 mb-3">{t('executiveSummary.title')}</h3>
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<div className="space-y-2">
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{hallazgos.map((h, idx) => (
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<div key={idx} className={cn('flex items-start gap-2 p-2 rounded-lg border', getClase(h.tipo))}>
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{getIcono(h.tipo)}
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<div className="flex-1">
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<p className="text-sm text-gray-700">{h.texto}</p>
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</div>
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{h.metrica && (
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<span className="text-xs px-2 py-0.5 bg-white rounded border border-gray-200 text-gray-500">
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{h.metrica}
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</span>
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)}
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</div>
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))}
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</div>
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</Card>
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);
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}
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// ============================================
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// CABECERA CON PERIODO ANALIZADO
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// ============================================
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function CabeceraPeriodo({ data }: { data: AnalysisData }) {
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const { t } = useTranslation();
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const totalInteractions = data.heatmapData.reduce((sum, h) => sum + h.volume, 0);
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// Contar colas únicas (original_queue_id) desde drilldownData
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const uniqueQueues = data.drilldownData
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? new Set(data.drilldownData.flatMap(d => d.originalQueues.map(q => q.original_queue_id))).size
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: data.heatmapData.length;
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// Contar líneas de negocio únicas (skills en drilldownData = queue_skill agrupado)
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const numLineasNegocio = data.drilldownData?.length || data.heatmapData.length;
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// Formatear fechas del periodo
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const formatPeriodo = () => {
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if (!data.dateRange?.min || !data.dateRange?.max) {
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return t('executiveSummary.periodNotSpecified');
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}
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const formatDate = (dateStr: string) => {
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try {
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const date = new Date(dateStr);
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return date.toLocaleDateString('es-ES', { day: '2-digit', month: 'short', year: 'numeric' });
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} catch {
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return dateStr;
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}
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};
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return `${formatDate(data.dateRange.min)} - ${formatDate(data.dateRange.max)}`;
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};
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return (
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<div className="flex flex-col sm:flex-row items-start sm:items-center justify-between gap-2 sm:gap-4 py-3 px-3 sm:px-4 bg-gray-50 rounded-lg border border-gray-200">
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<div className="flex items-center gap-2 text-gray-600">
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<Calendar className="w-4 h-4 flex-shrink-0" />
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<span className="text-xs sm:text-sm font-medium">{t('executiveSummary.period')}</span>
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<span className="text-xs sm:text-sm">{formatPeriodo()}</span>
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</div>
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<div className="flex flex-wrap items-center gap-2 sm:gap-4 md:gap-6 text-xs sm:text-sm text-gray-500">
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<span><strong>{formatNumber(totalInteractions)}</strong> {t('executiveSummary.interactions')}</span>
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<span><strong>{uniqueQueues}</strong> {t('executiveSummary.queues')}</span>
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<span><strong>{numLineasNegocio}</strong> {t('executiveSummary.businessLines')}</span>
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</div>
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</div>
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);
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}
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// ============================================
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// v3.15: HEADLINE EJECUTIVO (Situación)
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// ============================================
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function HeadlineEjecutivo({
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totalInteracciones,
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oportunidadTotal,
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eficienciaScore,
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resolucionScore,
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satisfaccionScore
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}: {
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totalInteracciones: number;
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oportunidadTotal: number;
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eficienciaScore: number;
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resolucionScore: number;
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satisfaccionScore: number;
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}) {
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const { t } = useTranslation();
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const getStatusLabel = (score: number): string => {
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if (score >= 80) return t('common.optimal');
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if (score >= 60) return t('common.acceptable');
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return t('common.critical');
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};
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const getStatusVariant = (score: number): 'success' | 'warning' | 'critical' => {
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if (score >= 80) return 'success';
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if (score >= 60) return 'warning';
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return 'critical';
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};
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return (
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<div className="bg-gradient-to-r from-gray-800 to-gray-700 rounded-lg p-4 sm:p-6 text-white">
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{/* Título principal */}
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<div className="mb-3 sm:mb-4">
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<h1 className="text-lg sm:text-xl md:text-2xl font-light mb-1">
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{t('executiveSummary.yourOperation', { total: formatNumber(totalInteracciones) })}
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</h1>
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<p className="text-sm sm:text-lg text-gray-300">
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{t('executiveSummary.withOpportunity', { amount: formatCurrency(oportunidadTotal) })}
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</p>
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</div>
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{/* Status Bar */}
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<div className="flex flex-wrap gap-2 sm:gap-3 mt-3 sm:mt-4 pt-3 sm:pt-4 border-t border-gray-600">
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<div className={cn(
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'flex items-center gap-2 px-3 py-1.5 rounded-full',
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STATUS_CLASSES[getStatusVariant(eficienciaScore)].bg
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)}>
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<Clock className={cn('w-4 h-4', STATUS_CLASSES[getStatusVariant(eficienciaScore)].text)} />
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<span className={cn('text-sm font-medium', STATUS_CLASSES[getStatusVariant(eficienciaScore)].text)}>
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{t('executiveSummary.efficiency')} {getStatusLabel(eficienciaScore)}
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</span>
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</div>
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<div className={cn(
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'flex items-center gap-2 px-3 py-1.5 rounded-full',
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STATUS_CLASSES[getStatusVariant(resolucionScore)].bg
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)}>
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<CheckCircle className={cn('w-4 h-4', STATUS_CLASSES[getStatusVariant(resolucionScore)].text)} />
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<span className={cn('text-sm font-medium', STATUS_CLASSES[getStatusVariant(resolucionScore)].text)}>
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{t('executiveSummary.resolution')} {getStatusLabel(resolucionScore)}
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</span>
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</div>
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<div className={cn(
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'flex items-center gap-2 px-3 py-1.5 rounded-full',
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STATUS_CLASSES[getStatusVariant(satisfaccionScore)].bg
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)}>
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<Users className={cn('w-4 h-4', STATUS_CLASSES[getStatusVariant(satisfaccionScore)].text)} />
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<span className={cn('text-sm font-medium', STATUS_CLASSES[getStatusVariant(satisfaccionScore)].text)}>
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{t('executiveSummary.satisfaction')} {getStatusLabel(satisfaccionScore)}
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</span>
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</div>
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</div>
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</div>
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);
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}
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// v7.0: Unified KPI + Benchmark Card Component
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// Combines KeyMetricsCard + BenchmarkTable into single 3x2 card grid
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function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[] }) {
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const { t } = useTranslation();
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const [selectedIndustry, setSelectedIndustry] = React.useState<IndustryKey>('aerolineas');
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const benchmarks = BENCHMARKS_INDUSTRIA[selectedIndustry];
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// Calculate volume-weighted metrics
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const totalVolume = heatmapData.reduce((sum, h) => sum + h.volume, 0);
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// FCR Técnico = sin transferencia (comparable con benchmarks)
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const fcrTecnico = totalVolume > 0
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? heatmapData.reduce((sum, h) => sum + (h.metrics.fcr_tecnico ?? (100 - h.metrics.transfer_rate)) * h.volume, 0) / totalVolume
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: 0;
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// FCR Real: sin transferencia Y sin recontacto 7d (más estricto)
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const fcrReal = totalVolume > 0
|
|
? heatmapData.reduce((sum, h) => sum + h.metrics.fcr * h.volume, 0) / totalVolume
|
|
: 0;
|
|
|
|
// Volume-weighted AHT (usando aht_seconds = AHT limpio sin noise/zombies)
|
|
const aht = totalVolume > 0 ? heatmapData.reduce((sum, h) => sum + h.aht_seconds * h.volume, 0) / totalVolume : 0;
|
|
|
|
// Volume-weighted AHT Total (usando aht_total = AHT con TODAS las filas - solo informativo)
|
|
const ahtTotal = totalVolume > 0
|
|
? heatmapData.reduce((sum, h) => sum + (h.aht_total ?? h.aht_seconds) * h.volume, 0) / totalVolume
|
|
: 0;
|
|
|
|
// CPI: usar el valor pre-calculado si existe, sino calcular desde annual_cost/cost_volume
|
|
const totalCostVolume = heatmapData.reduce((sum, h) => sum + (h.cost_volume || h.volume), 0);
|
|
const totalAnnualCost = heatmapData.reduce((sum, h) => sum + (h.annual_cost || 0), 0);
|
|
|
|
// Si tenemos CPI pre-calculado, usarlo ponderado por volumen
|
|
// Si no, calcular desde annual_cost / cost_volume
|
|
const hasCpiField = heatmapData.some(h => h.cpi !== undefined && h.cpi > 0);
|
|
const cpi = hasCpiField
|
|
? (totalCostVolume > 0
|
|
? heatmapData.reduce((sum, h) => sum + (h.cpi || 0) * (h.cost_volume || h.volume), 0) / totalCostVolume
|
|
: 0)
|
|
: (totalCostVolume > 0 ? totalAnnualCost / totalCostVolume : 0);
|
|
|
|
// DEBUG: Log CPI calculation
|
|
console.log('🔍 ExecutiveSummaryTab CPI:', `€${cpi.toFixed(2)}`, { hasCpiField, totalCostVolume });
|
|
|
|
// Volume-weighted metrics
|
|
const operacion = {
|
|
aht: aht,
|
|
ahtTotal: ahtTotal, // AHT con TODAS las filas (solo informativo)
|
|
fcrTecnico: fcrTecnico,
|
|
fcrReal: fcrReal,
|
|
abandono: totalVolume > 0 ? heatmapData.reduce((sum, h) => sum + (h.metrics.abandonment_rate || 0) * h.volume, 0) / totalVolume : 0,
|
|
cpi: cpi
|
|
};
|
|
|
|
// Calculate percentile position
|
|
const getPercentileBadge = (percentile: number): { label: string; color: string } => {
|
|
if (percentile >= 90) return { label: t('executiveSummary.top10'), color: 'bg-emerald-500 text-white' };
|
|
if (percentile >= 75) return { label: t('executiveSummary.top25'), color: 'bg-emerald-100 text-emerald-700' };
|
|
if (percentile >= 50) return { label: t('executiveSummary.average'), color: 'bg-amber-100 text-amber-700' };
|
|
if (percentile >= 25) return { label: t('executiveSummary.belowAvg'), color: 'bg-orange-100 text-orange-700' };
|
|
return { label: t('executiveSummary.bottom25'), color: 'bg-red-100 text-red-700' };
|
|
};
|
|
|
|
// Calculate GAP vs P50 - positive is better, negative is worse
|
|
const calcularGap = (valor: number, bench: BenchmarkMetric): { gap: string; diff: number; isPositive: boolean } => {
|
|
const diff = bench.invertida ? bench.p50 - valor : valor - bench.p50;
|
|
const isPositive = diff > 0;
|
|
if (bench.unidad === 's') {
|
|
return { gap: `${isPositive ? '+' : ''}${Math.round(diff)}s`, diff, isPositive };
|
|
} else if (bench.unidad === '%') {
|
|
return { gap: `${isPositive ? '+' : ''}${diff.toFixed(1)}pp`, diff, isPositive };
|
|
} else {
|
|
return { gap: `${isPositive ? '+' : ''}€${Math.abs(diff).toFixed(2)}`, diff, isPositive };
|
|
}
|
|
};
|
|
|
|
// Get card background color based on GAP
|
|
type GapStatus = 'positive' | 'neutral' | 'negative';
|
|
const getGapStatus = (diff: number, bench: BenchmarkMetric): GapStatus => {
|
|
// Calculate threshold as 5% of P50
|
|
const threshold = bench.p50 * 0.05;
|
|
if (diff > threshold) return 'positive';
|
|
if (diff < -threshold) return 'negative';
|
|
return 'neutral';
|
|
};
|
|
|
|
const cardBgColors: Record<GapStatus, string> = {
|
|
positive: 'bg-emerald-50 border-emerald-200',
|
|
neutral: 'bg-amber-50 border-amber-200',
|
|
negative: 'bg-red-50 border-red-200'
|
|
};
|
|
|
|
// Calculate position on visual scale (0-100) for the benchmark bar
|
|
// 0 = worst performers, 100 = best performers
|
|
const calcularPosicionVisual = (valor: number, bench: BenchmarkMetric): number => {
|
|
const { p25, p50, p75, p90, invertida } = bench;
|
|
|
|
if (invertida) {
|
|
// For inverted metrics (lower is better): p25 < p50 < p75 < p90
|
|
// Better performance = lower value = higher visual position
|
|
if (valor <= p25) return 95; // Best performers (top 25%)
|
|
if (valor <= p50) return 50 + 45 * (p50 - valor) / (p50 - p25); // Between median and top
|
|
if (valor <= p75) return 25 + 25 * (p75 - valor) / (p75 - p50); // Between p75 and median
|
|
if (valor <= p90) return 5 + 20 * (p90 - valor) / (p90 - p75); // Between p90 and p75
|
|
return 5; // Worst performers (bottom 10%)
|
|
} else {
|
|
// For normal metrics (higher is better): p25 < p50 < p75 < p90
|
|
// Better performance = higher value = higher visual position
|
|
if (valor >= p90) return 95; // Best performers (top 10%)
|
|
if (valor >= p75) return 75 + 20 * (valor - p75) / (p90 - p75);
|
|
if (valor >= p50) return 50 + 25 * (valor - p50) / (p75 - p50);
|
|
if (valor >= p25) return 25 + 25 * (valor - p25) / (p50 - p25);
|
|
return Math.max(5, 25 * valor / p25); // Worst performers
|
|
}
|
|
};
|
|
|
|
// Get insight text based on percentile position
|
|
const getInsightText = (percentile: number, bench: BenchmarkMetric): string => {
|
|
if (percentile >= 90) return t('executiveSummary.surpasses90');
|
|
if (percentile >= 75) return t('executiveSummary.betterThan75');
|
|
if (percentile >= 50) return t('executiveSummary.alignedWithMedian');
|
|
if (percentile >= 25) return t('executiveSummary.belowAverage');
|
|
return t('executiveSummary.criticalArea');
|
|
};
|
|
|
|
// Format benchmark value for display
|
|
const formatBenchValue = (value: number, unidad: string): string => {
|
|
if (unidad === 's') return `${Math.round(value)}s`;
|
|
if (unidad === '%') return `${value}%`;
|
|
return `€${value.toFixed(2)}`;
|
|
};
|
|
|
|
// Metrics data with display values
|
|
// FCR Real context: métrica más estricta que incluye recontactos 7 días
|
|
const fcrRealDiff = operacion.fcrTecnico - operacion.fcrReal;
|
|
const fcrRealContext = fcrRealDiff > 0
|
|
? `${Math.round(fcrRealDiff)}pp ${t('executiveSummary.recontacts7d')}`
|
|
: null;
|
|
|
|
// AHT Total context: diferencia entre AHT limpio y AHT con todas las filas
|
|
const ahtTotalDiff = operacion.ahtTotal - operacion.aht;
|
|
const ahtTotalContext = Math.abs(ahtTotalDiff) > 1
|
|
? `${ahtTotalDiff > 0 ? '+' : ''}${Math.round(ahtTotalDiff)}s ${t('executiveSummary.vsCleanAht')}`
|
|
: null;
|
|
|
|
const metricsData = [
|
|
{
|
|
id: 'aht',
|
|
label: t('executiveSummary.aht'),
|
|
valor: operacion.aht,
|
|
display: `${Math.floor(operacion.aht / 60)}:${String(Math.round(operacion.aht) % 60).padStart(2, '0')}`,
|
|
subDisplay: `(${Math.round(operacion.aht)}s)`,
|
|
bench: benchmarks.metricas.aht,
|
|
tooltip: t('executiveSummary.ahtTooltip'),
|
|
// AHT Total integrado como métrica secundaria
|
|
secondaryMetric: {
|
|
label: t('executiveSummary.ahtTotal'),
|
|
value: `${Math.floor(operacion.ahtTotal / 60)}:${String(Math.round(operacion.ahtTotal) % 60).padStart(2, '0')} (${Math.round(operacion.ahtTotal)}s)`,
|
|
note: ahtTotalContext,
|
|
tooltip: t('executiveSummary.ahtTotalTooltip'),
|
|
description: t('executiveSummary.ahtTotalDesc')
|
|
}
|
|
},
|
|
{
|
|
id: 'fcr_tecnico',
|
|
label: t('executiveSummary.fcr'),
|
|
valor: operacion.fcrTecnico,
|
|
display: `${Math.round(operacion.fcrTecnico)}%`,
|
|
subDisplay: null,
|
|
bench: benchmarks.metricas.fcr,
|
|
tooltip: t('executiveSummary.fcrTooltip'),
|
|
// FCR Real integrado como métrica secundaria
|
|
secondaryMetric: {
|
|
label: t('executiveSummary.fcrAdjusted'),
|
|
value: `${Math.round(operacion.fcrReal)}%`,
|
|
note: fcrRealContext,
|
|
tooltip: t('executiveSummary.fcrAdjustedTooltip'),
|
|
description: t('executiveSummary.fcrAdjustedDesc')
|
|
}
|
|
},
|
|
{
|
|
id: 'abandono',
|
|
label: t('executiveSummary.abandonment'),
|
|
valor: operacion.abandono,
|
|
display: `${operacion.abandono.toFixed(1)}%`,
|
|
subDisplay: null,
|
|
bench: benchmarks.metricas.abandono,
|
|
tooltip: t('executiveSummary.abandonmentTooltip'),
|
|
secondaryMetric: null
|
|
},
|
|
{
|
|
id: 'cpi',
|
|
label: t('executiveSummary.costPerInteraction'),
|
|
valor: operacion.cpi,
|
|
display: `€${operacion.cpi.toFixed(2)}`,
|
|
subDisplay: null,
|
|
bench: benchmarks.metricas.cpi,
|
|
tooltip: t('executiveSummary.cpiTooltip'),
|
|
secondaryMetric: null
|
|
}
|
|
];
|
|
|
|
// Map industry keys to translation keys
|
|
const industryNameMap: Record<IndustryKey, string> = {
|
|
aerolineas: t('industries.airlines'),
|
|
telecomunicaciones: t('industries.telco'),
|
|
banca: t('industries.banking'),
|
|
utilities: t('industries.utilities'),
|
|
retail: t('industries.retail'),
|
|
general: t('industries.crossIndustry')
|
|
};
|
|
|
|
return (
|
|
<Card>
|
|
{/* Header with industry selector */}
|
|
<div className="flex flex-col sm:flex-row sm:items-center sm:justify-between gap-2 mb-3">
|
|
<div>
|
|
<h3 className="font-semibold text-gray-900">{t('executiveSummary.indicators')}</h3>
|
|
<p className="text-xs text-gray-500">{t('benchmark.source', { source: benchmarks.fuente })}</p>
|
|
</div>
|
|
<select
|
|
value={selectedIndustry}
|
|
onChange={(e) => setSelectedIndustry(e.target.value as IndustryKey)}
|
|
className="text-sm border border-gray-300 rounded-md px-2 py-1 bg-white w-full sm:w-auto"
|
|
>
|
|
{Object.entries(BENCHMARKS_INDUSTRIA).map(([key, val]) => (
|
|
<option key={key} value={key}>{industryNameMap[key as IndustryKey]}</option>
|
|
))}
|
|
</select>
|
|
</div>
|
|
|
|
{/* 2x2 Card Grid - McKinsey style */}
|
|
<div className="grid grid-cols-1 sm:grid-cols-2 gap-4">
|
|
{metricsData.map((m) => {
|
|
const percentil = calcularPercentilUsuario(m.valor, m.bench);
|
|
const badge = getPercentileBadge(percentil);
|
|
const { gap, diff, isPositive } = calcularGap(m.valor, m.bench);
|
|
const gapStatus = getGapStatus(diff, m.bench);
|
|
const posicionVisual = calcularPosicionVisual(m.valor, m.bench);
|
|
const insightText = getInsightText(percentil, m.bench);
|
|
|
|
return (
|
|
<div
|
|
key={m.id}
|
|
className={cn(
|
|
'p-4 rounded-lg border transition-all',
|
|
cardBgColors[gapStatus]
|
|
)}
|
|
title={m.tooltip}
|
|
>
|
|
{/* Header: Label + Badge */}
|
|
<div className="flex items-center justify-between mb-2">
|
|
<div className="text-[11px] font-semibold text-gray-600 uppercase tracking-wider">
|
|
{m.label}
|
|
</div>
|
|
<span className={`text-[9px] px-2 py-0.5 rounded-full font-medium ${badge.color}`}>
|
|
{badge.label}
|
|
</span>
|
|
</div>
|
|
|
|
{/* Main Value + GAP */}
|
|
<div className="flex items-baseline justify-between mb-3">
|
|
<div className="text-2xl font-bold text-gray-900">
|
|
{m.display}
|
|
{m.subDisplay && (
|
|
<span className="text-xs font-normal text-gray-500 ml-1">{m.subDisplay}</span>
|
|
)}
|
|
</div>
|
|
<div className={cn(
|
|
"text-sm font-semibold",
|
|
isPositive ? "text-emerald-600" : "text-red-600"
|
|
)}>
|
|
{gap} {isPositive ? '✓' : '✗'}
|
|
</div>
|
|
</div>
|
|
|
|
{/* Secondary Metric (FCR Real for FCR card, AHT Total for AHT card) */}
|
|
{m.secondaryMetric && (
|
|
<div className="mb-3 py-2 px-3 bg-gray-50 border border-gray-200 rounded-md" title={m.secondaryMetric.tooltip}>
|
|
<div className="flex items-center justify-between">
|
|
<div className="flex items-center gap-2">
|
|
<span className="text-[10px] text-gray-500 uppercase tracking-wide">{m.secondaryMetric.label}</span>
|
|
<span className="text-sm font-semibold text-gray-700">{m.secondaryMetric.value}</span>
|
|
</div>
|
|
{m.secondaryMetric.note && (
|
|
<span className="text-[9px] text-gray-500 italic">
|
|
({m.secondaryMetric.note})
|
|
</span>
|
|
)}
|
|
</div>
|
|
{m.secondaryMetric.description && (
|
|
<div className="text-[9px] text-gray-400 mt-1">
|
|
{m.secondaryMetric.description}
|
|
</div>
|
|
)}
|
|
</div>
|
|
)}
|
|
|
|
{/* Visual Benchmark Distribution Bar */}
|
|
<div className="mb-2">
|
|
<div className="relative h-2 bg-gradient-to-r from-red-200 via-amber-200 to-emerald-200 rounded-full overflow-visible">
|
|
{/* P25, P50, P75 markers */}
|
|
<div className="absolute top-0 left-[25%] w-px h-2 bg-gray-400" title="P25" />
|
|
<div className="absolute top-0 left-[50%] w-0.5 h-2 bg-gray-600" title="P50 (Mediana)" />
|
|
<div className="absolute top-0 left-[75%] w-px h-2 bg-gray-400" title="P75" />
|
|
{/* User position indicator */}
|
|
<div
|
|
className="absolute -top-0.5 w-3 h-3 rounded-full bg-gray-800 border-2 border-white shadow-md transform -translate-x-1/2"
|
|
style={{ left: `${Math.min(98, Math.max(2, posicionVisual))}%` }}
|
|
title={`Tu posición: ${m.display}`}
|
|
/>
|
|
</div>
|
|
{/* Scale labels */}
|
|
<div className="flex justify-between text-[8px] text-gray-400 mt-0.5 px-0.5">
|
|
<span>P25</span>
|
|
<span>P50</span>
|
|
<span>P75</span>
|
|
<span>P90</span>
|
|
</div>
|
|
</div>
|
|
|
|
{/* Benchmark Reference Values */}
|
|
<div className="grid grid-cols-3 gap-1 text-center mb-2 py-1.5 bg-white/50 rounded">
|
|
<div>
|
|
<div className="text-[9px] text-gray-400">{t('executiveSummary.benchmarkLow')}</div>
|
|
<div className="text-[10px] font-medium text-gray-600">{formatBenchValue(m.bench.p25, m.bench.unidad)}</div>
|
|
</div>
|
|
<div className="border-x border-gray-200">
|
|
<div className="text-[9px] text-gray-400">{t('executiveSummary.benchmarkMedian')}</div>
|
|
<div className="text-[10px] font-semibold text-gray-700">{formatBenchValue(m.bench.p50, m.bench.unidad)}</div>
|
|
</div>
|
|
<div>
|
|
<div className="text-[9px] text-gray-400">{t('executiveSummary.benchmarkTop')}</div>
|
|
<div className="text-[10px] font-medium text-emerald-600">{formatBenchValue(m.bench.p90, m.bench.unidad)}</div>
|
|
</div>
|
|
</div>
|
|
|
|
{/* Insight Text */}
|
|
<div className={cn(
|
|
"text-[10px] text-center py-1 rounded",
|
|
percentil >= 75 ? "text-emerald-700 bg-emerald-100/50" :
|
|
percentil >= 50 ? "text-amber-700 bg-amber-100/50" :
|
|
"text-red-700 bg-red-100/50"
|
|
)}>
|
|
{insightText}
|
|
</div>
|
|
</div>
|
|
);
|
|
})}
|
|
</div>
|
|
</Card>
|
|
);
|
|
}
|
|
|
|
// v6.0: Health Score - Simplified weighted average (no penalties)
|
|
function HealthScoreDetailed({
|
|
score,
|
|
avgFCR,
|
|
avgAHT,
|
|
avgAbandonmentRate,
|
|
avgTransferRate
|
|
}: {
|
|
score: number;
|
|
avgFCR: number; // FCR Técnico (%)
|
|
avgAHT: number; // AHT en segundos
|
|
avgAbandonmentRate: number; // Tasa de abandono (%)
|
|
avgTransferRate: number; // Tasa de transferencia (%)
|
|
}) {
|
|
const { t } = useTranslation();
|
|
|
|
const getScoreColor = (s: number): string => {
|
|
if (s >= 80) return COLORS.status.success;
|
|
if (s >= 60) return COLORS.status.warning;
|
|
return COLORS.status.critical;
|
|
};
|
|
|
|
const getScoreLabel = (s: number): string => {
|
|
if (s >= 80) return t('executiveSummary.excellent');
|
|
if (s >= 60) return t('executiveSummary.good');
|
|
if (s >= 40) return t('executiveSummary.regular');
|
|
return t('common.critical');
|
|
};
|
|
|
|
const color = getScoreColor(score);
|
|
const circumference = 2 * Math.PI * 40;
|
|
const strokeDasharray = `${(score / 100) * circumference} ${circumference}`;
|
|
|
|
// ═══════════════════════════════════════════════════════════════
|
|
// Calcular scores normalizados usando benchmarks de industria
|
|
// Misma lógica que calculateHealthScore() en realDataAnalysis.ts
|
|
// ═══════════════════════════════════════════════════════════════
|
|
|
|
// FCR Técnico: P10=85%, P50=68%, P90=50%
|
|
let fcrScore: number;
|
|
if (avgFCR >= 85) {
|
|
fcrScore = 95 + 5 * Math.min(1, (avgFCR - 85) / 15);
|
|
} else if (avgFCR >= 68) {
|
|
fcrScore = 50 + 50 * (avgFCR - 68) / (85 - 68);
|
|
} else if (avgFCR >= 50) {
|
|
fcrScore = 20 + 30 * (avgFCR - 50) / (68 - 50);
|
|
} else {
|
|
fcrScore = Math.max(0, 20 * avgFCR / 50);
|
|
}
|
|
|
|
// Abandono: P10=3%, P50=5%, P90=10%
|
|
let abandonoScore: number;
|
|
if (avgAbandonmentRate <= 3) {
|
|
abandonoScore = 95 + 5 * Math.max(0, (3 - avgAbandonmentRate) / 3);
|
|
} else if (avgAbandonmentRate <= 5) {
|
|
abandonoScore = 50 + 45 * (5 - avgAbandonmentRate) / (5 - 3);
|
|
} else if (avgAbandonmentRate <= 10) {
|
|
abandonoScore = 20 + 30 * (10 - avgAbandonmentRate) / (10 - 5);
|
|
} else {
|
|
abandonoScore = Math.max(0, 20 - 2 * (avgAbandonmentRate - 10));
|
|
}
|
|
|
|
// AHT: P10=240s, P50=380s, P90=540s
|
|
let ahtScore: number;
|
|
if (avgAHT <= 240) {
|
|
if (avgFCR > 65) {
|
|
ahtScore = 95 + 5 * Math.max(0, (240 - avgAHT) / 60);
|
|
} else {
|
|
ahtScore = 70;
|
|
}
|
|
} else if (avgAHT <= 380) {
|
|
ahtScore = 50 + 45 * (380 - avgAHT) / (380 - 240);
|
|
} else if (avgAHT <= 540) {
|
|
ahtScore = 20 + 30 * (540 - avgAHT) / (540 - 380);
|
|
} else {
|
|
ahtScore = Math.max(0, 20 * (600 - avgAHT) / 60);
|
|
}
|
|
|
|
// CSAT Proxy: 60% FCR + 40% Abandono
|
|
const csatProxyScore = 0.60 * fcrScore + 0.40 * abandonoScore;
|
|
|
|
type FactorStatus = 'success' | 'warning' | 'critical';
|
|
const getFactorStatus = (s: number): FactorStatus => s >= 80 ? 'success' : s >= 50 ? 'warning' : 'critical';
|
|
|
|
// Nueva ponderación: FCR 35%, Abandono 30%, CSAT Proxy 20%, AHT 15%
|
|
const factors = [
|
|
{
|
|
name: t('executiveSummary.fcrTechnical'),
|
|
weight: '35%',
|
|
score: Math.round(fcrScore),
|
|
status: getFactorStatus(fcrScore),
|
|
insight: fcrScore >= 80 ? t('common.optimal') : fcrScore >= 50 ? t('executiveSummary.atP50') : t('executiveSummary.lowP90'),
|
|
rawValue: `${avgFCR.toFixed(0)}%`
|
|
},
|
|
{
|
|
name: t('executiveSummary.accessibility'),
|
|
weight: '30%',
|
|
score: Math.round(abandonoScore),
|
|
status: getFactorStatus(abandonoScore),
|
|
insight: abandonoScore >= 80 ? t('common.low') : abandonoScore >= 50 ? t('executiveSummary.moderate') : t('common.critical'),
|
|
rawValue: `${avgAbandonmentRate.toFixed(1)}% aband.`
|
|
},
|
|
{
|
|
name: t('executiveSummary.csatProxy'),
|
|
weight: '20%',
|
|
score: Math.round(csatProxyScore),
|
|
status: getFactorStatus(csatProxyScore),
|
|
insight: csatProxyScore >= 80 ? t('common.optimal') : csatProxyScore >= 50 ? t('common.improvable') : t('common.low'),
|
|
rawValue: '(FCR+Aband.)'
|
|
},
|
|
{
|
|
name: t('executiveSummary.efficiencyMetric'),
|
|
weight: '15%',
|
|
score: Math.round(ahtScore),
|
|
status: getFactorStatus(ahtScore),
|
|
insight: ahtScore >= 80 ? t('executiveSummary.fast') : ahtScore >= 50 ? t('executiveSummary.inRange') : t('executiveSummary.slow'),
|
|
rawValue: `${Math.floor(avgAHT / 60)}:${String(Math.round(avgAHT) % 60).padStart(2, '0')}`
|
|
}
|
|
];
|
|
|
|
const statusBarColors: Record<FactorStatus, string> = {
|
|
success: 'bg-emerald-500',
|
|
warning: 'bg-amber-500',
|
|
critical: 'bg-red-500'
|
|
};
|
|
|
|
const statusTextColors: Record<FactorStatus, string> = {
|
|
success: 'text-emerald-600',
|
|
warning: 'text-amber-600',
|
|
critical: 'text-red-600'
|
|
};
|
|
|
|
// Score final = media ponderada (sin penalizaciones en v6.0)
|
|
const finalScore = Math.round(
|
|
fcrScore * 0.35 +
|
|
abandonoScore * 0.30 +
|
|
csatProxyScore * 0.20 +
|
|
ahtScore * 0.15
|
|
);
|
|
|
|
const displayColor = getScoreColor(finalScore);
|
|
const displayStrokeDasharray = `${(finalScore / 100) * circumference} ${circumference}`;
|
|
|
|
return (
|
|
<Card>
|
|
<div className="flex flex-col sm:flex-row items-start gap-4 sm:gap-5">
|
|
{/* Single Gauge: Final Score (weighted average) */}
|
|
<div className="flex-shrink-0">
|
|
<div className="text-center">
|
|
<div className="relative w-20 h-20 sm:w-24 sm:h-24">
|
|
<svg className="w-full h-full transform -rotate-90" viewBox="0 0 100 100">
|
|
<circle cx="50" cy="50" r="40" fill="none" stroke="#e5e7eb" strokeWidth="8" />
|
|
<circle
|
|
cx="50" cy="50" r="40" fill="none" stroke={displayColor} strokeWidth="8"
|
|
strokeLinecap="round" strokeDasharray={displayStrokeDasharray}
|
|
className="transition-all duration-1000"
|
|
/>
|
|
</svg>
|
|
<div className="absolute inset-0 flex flex-col items-center justify-center">
|
|
<span className="text-2xl sm:text-3xl font-bold" style={{ color: displayColor }}>{finalScore}</span>
|
|
</div>
|
|
</div>
|
|
<p className="text-xs font-semibold mt-1" style={{ color: displayColor }}>{getScoreLabel(finalScore)}</p>
|
|
</div>
|
|
</div>
|
|
|
|
{/* Breakdown */}
|
|
<div className="flex-1 min-w-0">
|
|
<h3 className="font-semibold text-gray-900 mb-2">{t('executiveSummary.healthScore')}</h3>
|
|
<p className="text-[10px] text-gray-400 mb-2">
|
|
{t('executiveSummary.healthScoreBenchmark')}
|
|
</p>
|
|
|
|
<div className="space-y-2">
|
|
{factors.map((factor) => (
|
|
<div key={factor.name} className="flex items-center gap-2">
|
|
<div className="w-20 text-xs text-gray-600 truncate">{factor.name}</div>
|
|
<div className="w-7 text-[10px] text-gray-400 text-center font-medium">{factor.weight}</div>
|
|
<div className="flex-1 h-2 bg-gray-100 rounded-full overflow-hidden">
|
|
<div
|
|
className={cn('h-full rounded-full transition-all', statusBarColors[factor.status])}
|
|
style={{ width: `${factor.score}%` }}
|
|
/>
|
|
</div>
|
|
<div className="w-6 text-xs text-gray-500 text-right">{factor.score}</div>
|
|
<div className={cn('w-16 text-[10px]', statusTextColors[factor.status])}>
|
|
{factor.rawValue}
|
|
</div>
|
|
</div>
|
|
))}
|
|
</div>
|
|
|
|
{/* Nota de cálculo */}
|
|
<div className="mt-3 pt-2 border-t border-gray-100">
|
|
<p className="text-[9px] text-gray-400 text-center">
|
|
{t('executiveSummary.healthScoreFormula')}
|
|
</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</Card>
|
|
);
|
|
}
|
|
|
|
// v3.16: Potencial de Automatización - Sin gauge confuso, solo distribución clara
|
|
function AgenticReadinessScore({ data }: { data: AnalysisData }) {
|
|
const { t } = useTranslation();
|
|
const allQueues = data.drilldownData?.flatMap(skill => skill.originalQueues) || [];
|
|
const totalQueueVolume = allQueues.reduce((sum, q) => sum + q.volume, 0);
|
|
|
|
// Calcular volúmenes por tier
|
|
const tierVolumes = {
|
|
AUTOMATE: allQueues.filter(q => q.tier === 'AUTOMATE').reduce((s, q) => s + q.volume, 0),
|
|
ASSIST: allQueues.filter(q => q.tier === 'ASSIST').reduce((s, q) => s + q.volume, 0),
|
|
AUGMENT: allQueues.filter(q => q.tier === 'AUGMENT').reduce((s, q) => s + q.volume, 0),
|
|
'HUMAN-ONLY': allQueues.filter(q => q.tier === 'HUMAN-ONLY').reduce((s, q) => s + q.volume, 0)
|
|
};
|
|
|
|
const tierCounts = {
|
|
AUTOMATE: allQueues.filter(q => q.tier === 'AUTOMATE').length,
|
|
ASSIST: allQueues.filter(q => q.tier === 'ASSIST').length,
|
|
AUGMENT: allQueues.filter(q => q.tier === 'AUGMENT').length,
|
|
'HUMAN-ONLY': allQueues.filter(q => q.tier === 'HUMAN-ONLY').length
|
|
};
|
|
|
|
// Porcentajes por tier
|
|
const tierPcts = {
|
|
AUTOMATE: totalQueueVolume > 0 ? (tierVolumes.AUTOMATE / totalQueueVolume) * 100 : 0,
|
|
ASSIST: totalQueueVolume > 0 ? (tierVolumes.ASSIST / totalQueueVolume) * 100 : 0,
|
|
AUGMENT: totalQueueVolume > 0 ? (tierVolumes.AUGMENT / totalQueueVolume) * 100 : 0,
|
|
'HUMAN-ONLY': totalQueueVolume > 0 ? (tierVolumes['HUMAN-ONLY'] / totalQueueVolume) * 100 : 0
|
|
};
|
|
|
|
// Datos de tiers con descripción clara
|
|
const tiers = [
|
|
{ key: 'AUTOMATE', label: t('executiveSummary.automate'), bgColor: 'bg-emerald-500', desc: t('executiveSummary.autonomousBot') },
|
|
{ key: 'ASSIST', label: t('executiveSummary.assist'), bgColor: 'bg-cyan-500', desc: t('executiveSummary.botPlusAgent') },
|
|
{ key: 'AUGMENT', label: t('executiveSummary.augment'), bgColor: 'bg-amber-500', desc: t('executiveSummary.assistedAgent') },
|
|
{ key: 'HUMAN-ONLY', label: t('executiveSummary.human'), bgColor: 'bg-gray-400', desc: t('executiveSummary.humanOnly') }
|
|
];
|
|
|
|
return (
|
|
<Card>
|
|
<div className="flex items-center gap-2 mb-4">
|
|
<Bot className="w-5 h-5 text-blue-600" />
|
|
<h3 className="font-semibold text-gray-900">{t('executiveSummary.automationPotential')}</h3>
|
|
</div>
|
|
|
|
{/* Distribución por tier */}
|
|
<div className="space-y-3">
|
|
{tiers.map((tier) => {
|
|
const pct = tierPcts[tier.key as keyof typeof tierPcts];
|
|
const count = tierCounts[tier.key as keyof typeof tierCounts];
|
|
const vol = tierVolumes[tier.key as keyof typeof tierVolumes];
|
|
return (
|
|
<div key={tier.key} className="flex items-center gap-3">
|
|
<div className="w-20">
|
|
<div className="text-xs font-medium text-gray-700">{tier.label}</div>
|
|
<div className="text-[10px] text-gray-400">{tier.desc}</div>
|
|
</div>
|
|
<div className="flex-1 h-2.5 bg-gray-100 rounded-full overflow-hidden">
|
|
<div
|
|
className={cn('h-full rounded-full transition-all', tier.bgColor)}
|
|
style={{ width: `${pct}%` }}
|
|
/>
|
|
</div>
|
|
<div className="w-14 text-right">
|
|
<div className="text-sm font-semibold text-gray-700">{Math.round(pct)}%</div>
|
|
</div>
|
|
<div className="w-16 text-xs text-gray-400 text-right">{count} {t('executiveSummary.queuesLabel')}</div>
|
|
</div>
|
|
);
|
|
})}
|
|
</div>
|
|
|
|
{/* Resumen */}
|
|
<div className="mt-4 pt-3 border-t border-gray-100">
|
|
<div className="grid grid-cols-2 gap-3 text-center">
|
|
<div className="p-2 bg-emerald-50 rounded-lg">
|
|
<p className="text-lg font-bold text-emerald-700">{Math.round(tierPcts.AUTOMATE)}%</p>
|
|
<p className="text-[10px] text-emerald-600">{t('executiveSummary.fullAutomation')}</p>
|
|
</div>
|
|
<div className="p-2 bg-cyan-50 rounded-lg">
|
|
<p className="text-lg font-bold text-cyan-700">{Math.round(tierPcts.AUTOMATE + tierPcts.ASSIST)}%</p>
|
|
<p className="text-[10px] text-cyan-600">{t('executiveSummary.withAIAssistance')}</p>
|
|
</div>
|
|
</div>
|
|
<p className="text-[10px] text-gray-400 text-center mt-2">
|
|
{t('executiveSummary.basedOnInteractions', { total: formatNumber(totalQueueVolume) })}
|
|
</p>
|
|
</div>
|
|
</Card>
|
|
);
|
|
}
|
|
|
|
|
|
// Top Opportunities Component (legacy - kept for reference)
|
|
function TopOpportunities({ findings, opportunities }: {
|
|
findings: Finding[];
|
|
opportunities: { name: string; impact: number; savings: number }[];
|
|
}) {
|
|
const items = [
|
|
...findings
|
|
.filter(f => f.type === 'critical' || f.type === 'warning')
|
|
.slice(0, 3)
|
|
.map((f, i) => ({
|
|
rank: i + 1,
|
|
title: f.title || f.text.split(':')[0],
|
|
metric: f.text.includes(':') ? f.text.split(':')[1].trim() : '',
|
|
action: f.description || 'Acción requerida',
|
|
type: f.type as 'critical' | 'warning' | 'info'
|
|
})),
|
|
].slice(0, 3);
|
|
|
|
if (items.length < 3) {
|
|
const remaining = 3 - items.length;
|
|
opportunities
|
|
.sort((a, b) => b.savings - a.savings)
|
|
.slice(0, remaining)
|
|
.forEach(() => {
|
|
const opp = opportunities[items.length];
|
|
if (opp) {
|
|
items.push({
|
|
rank: items.length + 1,
|
|
title: opp.name,
|
|
metric: `€${opp.savings.toLocaleString()} ahorro potencial`,
|
|
action: 'Implementar',
|
|
type: 'info' as const
|
|
});
|
|
}
|
|
});
|
|
}
|
|
|
|
const getIcon = (type: string) => {
|
|
if (type === 'critical') return <AlertTriangle className="w-4 h-4 text-red-500" />;
|
|
if (type === 'warning') return <Target className="w-4 h-4 text-amber-500" />;
|
|
return <CheckCircle className="w-4 h-4 text-emerald-500" />;
|
|
};
|
|
|
|
return (
|
|
<div className="bg-white rounded-lg p-4 border border-slate-200">
|
|
<h3 className="font-semibold text-slate-800 mb-3">Top 3 Oportunidades</h3>
|
|
<div className="space-y-2">
|
|
{items.map((item) => (
|
|
<div key={item.rank} className="flex items-start gap-2 p-2.5 bg-slate-50 rounded-lg">
|
|
<div className="flex-shrink-0 w-5 h-5 rounded-full bg-slate-200 flex items-center justify-center text-xs font-bold text-slate-600">
|
|
{item.rank}
|
|
</div>
|
|
<div className="flex-1 min-w-0">
|
|
<div className="flex items-center gap-1.5">
|
|
{getIcon(item.type)}
|
|
<span className="text-sm font-medium text-slate-700">{item.title}</span>
|
|
</div>
|
|
{item.metric && (
|
|
<p className="text-xs text-slate-500 mt-0.5">{item.metric}</p>
|
|
)}
|
|
<p className="text-xs text-[#6D84E3] mt-0.5 font-medium">→ {item.action}</p>
|
|
</div>
|
|
</div>
|
|
))}
|
|
</div>
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// v3.15: Economic Summary Compact
|
|
function EconomicSummary({ economicModel }: { economicModel: AnalysisData['economicModel'] }) {
|
|
const { t } = useTranslation();
|
|
|
|
return (
|
|
<Card padding="md">
|
|
<h3 className="font-semibold text-gray-900 mb-3">{t('executiveSummary.economicImpact')}</h3>
|
|
|
|
<div className="grid grid-cols-2 gap-3 mb-3">
|
|
<Stat
|
|
value={formatCurrency(economicModel.currentAnnualCost)}
|
|
label={t('executiveSummary.annualCost')}
|
|
/>
|
|
<Stat
|
|
value={formatCurrency(economicModel.annualSavings)}
|
|
label={t('executiveSummary.potentialSavings')}
|
|
status="success"
|
|
/>
|
|
</div>
|
|
|
|
<div className="flex items-center justify-between p-2.5 bg-blue-50 rounded-lg">
|
|
<div>
|
|
<p className="text-xs text-blue-600">{t('executiveSummary.roi3Years')}</p>
|
|
<p className="text-lg font-bold text-blue-600">{economicModel.roi3yr}%</p>
|
|
</div>
|
|
<div className="text-right">
|
|
<p className="text-xs text-gray-500">{t('executiveSummary.payback')}</p>
|
|
<p className="text-lg font-bold text-gray-700">{economicModel.paybackMonths}m</p>
|
|
</div>
|
|
</div>
|
|
</Card>
|
|
);
|
|
}
|
|
|
|
export function ExecutiveSummaryTab({ data, onTabChange }: ExecutiveSummaryTabProps) {
|
|
const { t } = useTranslation();
|
|
|
|
// Métricas básicas - VOLUME-WEIGHTED para consistencia con calculateHealthScore()
|
|
const totalInteractions = data.heatmapData.reduce((sum, h) => sum + h.volume, 0);
|
|
|
|
// AHT ponderado por volumen (usando aht_seconds = AHT limpio sin noise/zombies)
|
|
const avgAHT = totalInteractions > 0
|
|
? data.heatmapData.reduce((sum, h) => sum + h.aht_seconds * h.volume, 0) / totalInteractions
|
|
: 0;
|
|
|
|
// FCR Técnico: solo sin transferencia (comparable con benchmarks de industria) - ponderado por volumen
|
|
const avgFCRTecnico = totalInteractions > 0
|
|
? data.heatmapData.reduce((sum, h) => sum + (h.metrics.fcr_tecnico ?? (100 - h.metrics.transfer_rate)) * h.volume, 0) / totalInteractions
|
|
: 0;
|
|
|
|
// Transfer rate ponderado por volumen
|
|
const avgTransferRate = totalInteractions > 0
|
|
? data.heatmapData.reduce((sum, h) => sum + h.metrics.transfer_rate * h.volume, 0) / totalInteractions
|
|
: 0;
|
|
|
|
// Abandonment rate ponderado por volumen
|
|
const avgAbandonmentRate = totalInteractions > 0
|
|
? data.heatmapData.reduce((sum, h) => sum + (h.metrics.abandonment_rate || 0) * h.volume, 0) / totalInteractions
|
|
: 0;
|
|
|
|
// DEBUG: Validar métricas GLOBALES calculadas (ponderadas por volumen)
|
|
console.log('📊 ExecutiveSummaryTab - MÉTRICAS GLOBALES MOSTRADAS:', {
|
|
totalInteractions,
|
|
avgFCRTecnico: avgFCRTecnico.toFixed(2) + '%',
|
|
avgTransferRate: avgTransferRate.toFixed(2) + '%',
|
|
avgAbandonmentRate: avgAbandonmentRate.toFixed(2) + '%',
|
|
avgAHT: Math.round(avgAHT) + 's',
|
|
// Detalle por skill para verificación
|
|
perSkill: data.heatmapData.map(h => ({
|
|
skill: h.skill,
|
|
vol: h.volume,
|
|
fcr_tecnico: h.metrics?.fcr_tecnico,
|
|
transfer: h.metrics?.transfer_rate
|
|
}))
|
|
});
|
|
|
|
// Métricas para navegación
|
|
const allQueues = data.drilldownData?.flatMap(s => s.originalQueues) || [];
|
|
const colasAutomate = allQueues.filter(q => q.tier === 'AUTOMATE');
|
|
const ahorroTotal = data.economicModel?.annualSavings || 0;
|
|
const dimensionesConProblemas = data.dimensions.filter(d => d.score < 60).length;
|
|
|
|
return (
|
|
<div className="space-y-5">
|
|
{/* ========================================
|
|
1. CABECERA CON PERIODO
|
|
======================================== */}
|
|
<CabeceraPeriodo data={data} />
|
|
|
|
{/* ========================================
|
|
2. KPIs + BENCHMARK (Unified Card Grid)
|
|
======================================== */}
|
|
<UnifiedKPIBenchmark heatmapData={data.heatmapData} />
|
|
|
|
{/* ========================================
|
|
3. HEALTH SCORE
|
|
======================================== */}
|
|
<HealthScoreDetailed
|
|
score={data.overallHealthScore}
|
|
avgFCR={avgFCRTecnico}
|
|
avgAHT={avgAHT}
|
|
avgAbandonmentRate={avgAbandonmentRate}
|
|
avgTransferRate={avgTransferRate}
|
|
/>
|
|
|
|
{/* ========================================
|
|
4. PRINCIPALES HALLAZGOS
|
|
======================================== */}
|
|
<PrincipalesHallazgos data={data} />
|
|
|
|
{/* ========================================
|
|
5. NAVEGACIÓN RÁPIDA (Explorar más)
|
|
======================================== */}
|
|
{onTabChange && (
|
|
<div className="bg-gray-50 rounded-lg p-4">
|
|
<p className="text-xs font-medium text-gray-500 uppercase tracking-wider mb-3">
|
|
{t('executiveSummary.exploreDetailed')}
|
|
</p>
|
|
|
|
<div className="grid grid-cols-1 md:grid-cols-3 gap-3">
|
|
{/* Dimensiones */}
|
|
<button
|
|
onClick={() => onTabChange('dimensions')}
|
|
className="group flex items-center gap-3 p-3 bg-white rounded-lg border border-gray-200 text-left transition-all hover:shadow-sm hover:border-gray-300"
|
|
>
|
|
<div className={cn('p-2 rounded-lg', dimensionesConProblemas > 0 ? 'bg-amber-100' : 'bg-gray-100')}>
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<BarChart3 className={cn('w-4 h-4', dimensionesConProblemas > 0 ? 'text-amber-600' : 'text-gray-600')} />
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</div>
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<div className="flex-1 min-w-0">
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<div className="flex items-center gap-2">
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<span className="font-medium text-gray-700 text-sm">{t('executiveSummary.dimensionsTab')}</span>
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{dimensionesConProblemas > 0 && (
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<Badge label={`${dimensionesConProblemas} ${t('executiveSummary.criticalQueues')}`} variant="warning" size="sm" />
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)}
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</div>
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<p className="text-xs text-gray-400">{t('executiveSummary.dimensionsDesc')}</p>
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</div>
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<ChevronRight className="w-4 h-4 text-gray-300 group-hover:text-gray-500 group-hover:translate-x-0.5 transition-all" />
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</button>
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{/* Agentic Readiness */}
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<button
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onClick={() => onTabChange('readiness')}
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className="group flex items-center gap-3 p-3 bg-white rounded-lg border border-gray-200 text-left transition-all hover:shadow-sm hover:border-gray-300"
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>
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<div className={cn('p-2 rounded-lg', colasAutomate.length > 0 ? 'bg-emerald-100' : 'bg-gray-100')}>
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<Cpu className={cn('w-4 h-4', colasAutomate.length > 0 ? 'text-emerald-600' : 'text-gray-600')} />
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</div>
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<div className="flex-1 min-w-0">
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<div className="flex items-center gap-2">
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<span className="font-medium text-gray-700 text-sm">{t('executiveSummary.agenticReadinessTab')}</span>
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{colasAutomate.length > 0 && (
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<Badge label={`${colasAutomate.length} ${t('executiveSummary.readyQueues')}`} variant="success" size="sm" />
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)}
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</div>
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<p className="text-xs text-gray-400">{t('executiveSummary.agenticReadinessDesc')}</p>
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</div>
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<ChevronRight className="w-4 h-4 text-gray-300 group-hover:text-gray-500 group-hover:translate-x-0.5 transition-all" />
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</button>
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{/* Plan de Acción */}
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<button
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onClick={() => onTabChange('roadmap')}
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className="group flex items-center gap-3 p-3 bg-white rounded-lg border border-gray-200 text-left transition-all hover:shadow-sm hover:border-gray-300"
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>
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<div className="p-2 rounded-lg bg-blue-100">
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<Zap className="w-4 h-4 text-blue-600" />
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</div>
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<div className="flex-1 min-w-0">
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<div className="flex items-center gap-2">
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<span className="font-medium text-gray-700 text-sm">{t('executiveSummary.actionPlan')}</span>
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<Badge label={t('executiveSummary.priority')} variant="critical" size="sm" />
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</div>
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<p className="text-xs text-gray-400">
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{ahorroTotal > 0 ? t('executiveSummary.potentialPerYear', { amount: formatCurrency(ahorroTotal) }) : t('executiveSummary.roadmapImplementation')}
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</p>
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</div>
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<ChevronRight className="w-4 h-4 text-gray-300 group-hover:text-gray-500 group-hover:translate-x-0.5 transition-all" />
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</button>
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</div>
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</div>
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)}
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</div>
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);
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}
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export default ExecutiveSummaryTab;
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