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refactor: implement i18n in ExecutiveSummary and DimensionAnalysis tabs (phase 2)

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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
This commit is contained in:
Claude
2026-02-06 18:55:47 +00:00
parent 9bc1a1c0d3
commit 94247ceb9a
4 changed files with 794 additions and 176 deletions
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217
frontend/components/tabs/ExecutiveSummaryTab.tsx
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@@ -1,4 +1,5 @@
import React from 'react';
import { useTranslation } from 'react-i18next';
import { TrendingUp, TrendingDown, AlertTriangle, CheckCircle, Target, Activity, Clock, PhoneForwarded, Users, Bot, ChevronRight, BarChart3, Cpu, Map, Zap, Calendar } from 'lucide-react';
import type { AnalysisData, Finding, DrilldownDataPoint, HeatmapDataPoint } from '../../types';
import type { TabId } from '../DashboardHeader';
@@ -146,7 +147,7 @@ interface Hallazgo {
metrica?: string;
}
function generarHallazgos(data: AnalysisData): Hallazgo[] {
function generarHallazgos(data: AnalysisData, t: any): Hallazgo[] {
const hallazgos: Hallazgo[] = [];
const allQueues = data.drilldownData?.flatMap(s => s.originalQueues) || [];
const totalVolume = allQueues.reduce((s, q) => s + q.volume, 0);
@@ -163,7 +164,7 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
const pctVolumen = (colasAltaVariabilidad.reduce((s, q) => s + q.volume, 0) / totalVolume) * 100;
hallazgos.push({
tipo: 'critico',
texto: `${colasAltaVariabilidad.length} colas con variabilidad crítica (CV >100%) representan ${pctVolumen.toFixed(0)}% del volumen`,
texto: t('executiveSummary.highVariabilityQueues', { count: colasAltaVariabilidad.length, pct: pctVolumen.toFixed(0) }),
metrica: 'CV AHT'
});
}
@@ -173,7 +174,7 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
if (colasAltoTransfer.length > 0) {
hallazgos.push({
tipo: 'warning',
texto: `${colasAltoTransfer.length} colas con tasa de transferencia >25% - posible problema de routing o formación`,
texto: t('executiveSummary.highTransferQueues', { count: colasAltoTransfer.length }),
metrica: 'Transfer'
});
}
@@ -183,7 +184,7 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
if (colasBajoFCR.length > 0) {
hallazgos.push({
tipo: 'warning',
texto: `${colasBajoFCR.length} colas con FCR <50% - clientes requieren múltiples contactos`,
texto: t('executiveSummary.lowFCRQueues', { count: colasBajoFCR.length }),
metrica: 'FCR'
});
}
@@ -192,7 +193,7 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
if (avgAHT > 400) {
hallazgos.push({
tipo: 'warning',
texto: `AHT promedio de ${Math.round(avgAHT)}s supera el benchmark de industria (380s)`,
texto: t('executiveSummary.ahtAboveBenchmark', { aht: Math.round(avgAHT) }),
metrica: 'AHT'
});
}
@@ -203,7 +204,7 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
const pctHuman = (colasHumanOnly.reduce((s, q) => s + q.volume, 0) / totalVolume) * 100;
hallazgos.push({
tipo: 'info',
texto: `${colasHumanOnly.length} colas (${pctHuman.toFixed(0)}% volumen) requieren intervención humana completa`,
texto: t('executiveSummary.humanOnlyQueues', { count: colasHumanOnly.length, pct: pctHuman.toFixed(0) }),
metrica: 'Tier'
});
}
@@ -213,8 +214,8 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
if (colasAutomate.length > 0) {
hallazgos.push({
tipo: 'info',
texto: `${colasAutomate.length} colas listas para automatización con potencial de ahorro significativo`,
metrica: 'Oportunidad'
texto: t('executiveSummary.automateReadyQueues', { count: colasAutomate.length }),
metrica: t('executiveSummary.opportunity')
});
}
@@ -222,7 +223,8 @@ function generarHallazgos(data: AnalysisData): Hallazgo[] {
}
function PrincipalesHallazgos({ data }: { data: AnalysisData }) {
const hallazgos = generarHallazgos(data);
const { t } = useTranslation();
const hallazgos = generarHallazgos(data, t);
if (hallazgos.length === 0) return null;
@@ -240,7 +242,7 @@ function PrincipalesHallazgos({ data }: { data: AnalysisData }) {
return (
<Card>
<h3 className="font-semibold text-gray-900 mb-3">Principales Hallazgos</h3>
<h3 className="font-semibold text-gray-900 mb-3">{t('executiveSummary.title')}</h3>
<div className="space-y-2">
{hallazgos.map((h, idx) => (
<div key={idx} className={cn('flex items-start gap-2 p-2 rounded-lg border', getClase(h.tipo))}>
@@ -265,6 +267,7 @@ function PrincipalesHallazgos({ data }: { data: AnalysisData }) {
// ============================================
function CabeceraPeriodo({ data }: { data: AnalysisData }) {
const { t } = useTranslation();
const totalInteractions = data.heatmapData.reduce((sum, h) => sum + h.volume, 0);
// Contar colas únicas (original_queue_id) desde drilldownData
@@ -278,7 +281,7 @@ function CabeceraPeriodo({ data }: { data: AnalysisData }) {
// Formatear fechas del periodo
const formatPeriodo = () => {
if (!data.dateRange?.min || !data.dateRange?.max) {
return 'Periodo no especificado';
return t('executiveSummary.periodNotSpecified');
}
const formatDate = (dateStr: string) => {
try {
@@ -295,13 +298,13 @@ function CabeceraPeriodo({ data }: { data: AnalysisData }) {
<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">
<div className="flex items-center gap-2 text-gray-600">
<Calendar className="w-4 h-4 flex-shrink-0" />
<span className="text-xs sm:text-sm font-medium">Periodo:</span>
<span className="text-xs sm:text-sm font-medium">{t('executiveSummary.period')}</span>
<span className="text-xs sm:text-sm">{formatPeriodo()}</span>
</div>
<div className="flex flex-wrap items-center gap-2 sm:gap-4 md:gap-6 text-xs sm:text-sm text-gray-500">
<span><strong>{formatNumber(totalInteractions)}</strong> int.</span>
<span><strong>{uniqueQueues}</strong> colas</span>
<span><strong>{numLineasNegocio}</strong> LN</span>
<span><strong>{formatNumber(totalInteractions)}</strong> {t('executiveSummary.interactions')}</span>
<span><strong>{uniqueQueues}</strong> {t('executiveSummary.queues')}</span>
<span><strong>{numLineasNegocio}</strong> {t('executiveSummary.businessLines')}</span>
</div>
</div>
);
@@ -323,10 +326,12 @@ function HeadlineEjecutivo({
resolucionScore: number;
satisfaccionScore: number;
}) {
const { t } = useTranslation();
const getStatusLabel = (score: number): string => {
if (score >= 80) return 'Óptimo';
if (score >= 60) return 'Aceptable';
return 'Crítico';
if (score >= 80) return t('common.optimal');
if (score >= 60) return t('common.acceptable');
return t('common.critical');
};
const getStatusVariant = (score: number): 'success' | 'warning' | 'critical' => {
@@ -340,16 +345,10 @@ function HeadlineEjecutivo({
{/* Título principal */}
<div className="mb-3 sm:mb-4">
<h1 className="text-lg sm:text-xl md:text-2xl font-light mb-1">
Tu operación procesa{' '}
<span className="font-bold text-white">{formatNumber(totalInteracciones)}</span>{' '}
interacciones
{t('executiveSummary.yourOperation', { total: formatNumber(totalInteracciones) })}
</h1>
<p className="text-sm sm:text-lg text-gray-300">
con oportunidad de{' '}
<span className="font-bold text-emerald-400">
{formatCurrency(oportunidadTotal)}
</span>{' '}
en optimización
{t('executiveSummary.withOpportunity', { amount: formatCurrency(oportunidadTotal) })}
</p>
</div>
@@ -361,7 +360,7 @@ function HeadlineEjecutivo({
)}>
<Clock className={cn('w-4 h-4', STATUS_CLASSES[getStatusVariant(eficienciaScore)].text)} />
<span className={cn('text-sm font-medium', STATUS_CLASSES[getStatusVariant(eficienciaScore)].text)}>
Eficiencia: {getStatusLabel(eficienciaScore)}
{t('executiveSummary.efficiency')} {getStatusLabel(eficienciaScore)}
</span>
</div>
<div className={cn(
@@ -370,7 +369,7 @@ function HeadlineEjecutivo({
)}>
<CheckCircle className={cn('w-4 h-4', STATUS_CLASSES[getStatusVariant(resolucionScore)].text)} />
<span className={cn('text-sm font-medium', STATUS_CLASSES[getStatusVariant(resolucionScore)].text)}>
Resolución: {getStatusLabel(resolucionScore)}
{t('executiveSummary.resolution')} {getStatusLabel(resolucionScore)}
</span>
</div>
<div className={cn(
@@ -379,7 +378,7 @@ function HeadlineEjecutivo({
)}>
<Users className={cn('w-4 h-4', STATUS_CLASSES[getStatusVariant(satisfaccionScore)].text)} />
<span className={cn('text-sm font-medium', STATUS_CLASSES[getStatusVariant(satisfaccionScore)].text)}>
Satisfacción: {getStatusLabel(satisfaccionScore)}
{t('executiveSummary.satisfaction')} {getStatusLabel(satisfaccionScore)}
</span>
</div>
</div>
@@ -390,6 +389,7 @@ function HeadlineEjecutivo({
// v7.0: Unified KPI + Benchmark Card Component
// Combines KeyMetricsCard + BenchmarkTable into single 3x2 card grid
function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[] }) {
const { t } = useTranslation();
const [selectedIndustry, setSelectedIndustry] = React.useState<IndustryKey>('aerolineas');
const benchmarks = BENCHMARKS_INDUSTRIA[selectedIndustry];
@@ -442,11 +442,11 @@ function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[]
// Calculate percentile position
const getPercentileBadge = (percentile: number): { label: string; color: string } => {
if (percentile >= 90) return { label: 'Top 10%', color: 'bg-emerald-500 text-white' };
if (percentile >= 75) return { label: 'Top 25%', color: 'bg-emerald-100 text-emerald-700' };
if (percentile >= 50) return { label: 'Promedio', color: 'bg-amber-100 text-amber-700' };
if (percentile >= 25) return { label: 'Bajo Avg', color: 'bg-orange-100 text-orange-700' };
return { label: 'Bottom 25%', color: 'bg-red-100 text-red-700' };
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
@@ -504,11 +504,11 @@ function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[]
// Get insight text based on percentile position
const getInsightText = (percentile: number, bench: BenchmarkMetric): string => {
if (percentile >= 90) return `Superas al 90% del mercado`;
if (percentile >= 75) return `Mejor que 3 de cada 4 empresas`;
if (percentile >= 50) return `En línea con la mediana del sector`;
if (percentile >= 25) return `Por debajo de la media del mercado`;
return `Área crítica de mejora`;
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
@@ -522,79 +522,89 @@ function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[]
// FCR Real context: métrica más estricta que incluye recontactos 7 días
const fcrRealDiff = operacion.fcrTecnico - operacion.fcrReal;
const fcrRealContext = fcrRealDiff > 0
? `${Math.round(fcrRealDiff)}pp de recontactos 7d`
? `${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 ? '+' : ''}${Math.round(ahtTotalDiff)}s vs AHT limpio`
? `${ahtTotalDiff > 0 ? '+' : ''}${Math.round(ahtTotalDiff)}s ${t('executiveSummary.vsCleanAht')}`
: null;
const metricsData = [
{
id: 'aht',
label: 'AHT',
label: t('executiveSummary.aht'),
valor: operacion.aht,
display: `${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: 'Tiempo medio de gestión (solo interacciones válidas)',
tooltip: t('executiveSummary.ahtTooltip'),
// AHT Total integrado como métrica secundaria
secondaryMetric: {
label: 'AHT Total',
label: t('executiveSummary.ahtTotal'),
value: `${Math.floor(operacion.ahtTotal / 60)}:${String(Math.round(operacion.ahtTotal) % 60).padStart(2, '0')} (${Math.round(operacion.ahtTotal)}s)`,
note: ahtTotalContext,
tooltip: 'Incluye todas las filas (noise, zombie, abandon) - solo informativo',
description: 'Incluye noise, zombie y abandonos — solo informativo'
tooltip: t('executiveSummary.ahtTotalTooltip'),
description: t('executiveSummary.ahtTotalDesc')
}
},
{
id: 'fcr_tecnico',
label: 'FCR',
label: t('executiveSummary.fcr'),
valor: operacion.fcrTecnico,
display: `${Math.round(operacion.fcrTecnico)}%`,
subDisplay: null,
bench: benchmarks.metricas.fcr,
tooltip: 'First Contact Resolution - comparable con benchmarks de industria',
tooltip: t('executiveSummary.fcrTooltip'),
// FCR Real integrado como métrica secundaria
secondaryMetric: {
label: 'FCR Ajustado',
label: t('executiveSummary.fcrAdjusted'),
value: `${Math.round(operacion.fcrReal)}%`,
note: fcrRealContext,
tooltip: 'Excluye recontactos en 7 días (métrica más estricta)',
description: 'Incluye filtro de recontactos 7d — métrica interna más estricta'
tooltip: t('executiveSummary.fcrAdjustedTooltip'),
description: t('executiveSummary.fcrAdjustedDesc')
}
},
{
id: 'abandono',
label: 'ABANDONO',
label: t('executiveSummary.abandonment'),
valor: operacion.abandono,
display: `${operacion.abandono.toFixed(1)}%`,
subDisplay: null,
bench: benchmarks.metricas.abandono,
tooltip: 'Tasa de abandono',
tooltip: t('executiveSummary.abandonmentTooltip'),
secondaryMetric: null
},
{
id: 'cpi',
label: 'COSTE/INTERAC.',
label: t('executiveSummary.costPerInteraction'),
valor: operacion.cpi,
display: `€${operacion.cpi.toFixed(2)}`,
subDisplay: null,
bench: benchmarks.metricas.cpi,
tooltip: 'Coste por interacción',
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">Indicadores vs Industria</h3>
<p className="text-xs text-gray-500">Fuente: {benchmarks.fuente}</p>
<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}
@@ -602,7 +612,7 @@ function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[]
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}>{val.nombre}</option>
<option key={key} value={key}>{industryNameMap[key as IndustryKey]}</option>
))}
</select>
</div>
@@ -700,15 +710,15 @@ function UnifiedKPIBenchmark({ heatmapData }: { heatmapData: HeatmapDataPoint[]
{/* 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">Bajo</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">Mediana</div>
<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">Top</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>
@@ -744,6 +754,8 @@ function HealthScoreDetailed({
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;
@@ -751,10 +763,10 @@ function HealthScoreDetailed({
};
const getScoreLabel = (s: number): string => {
if (s >= 80) return 'Excelente';
if (s >= 60) return 'Bueno';
if (s >= 40) return 'Regular';
return 'Crítico';
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);
@@ -815,35 +827,35 @@ function HealthScoreDetailed({
// Nueva ponderación: FCR 35%, Abandono 30%, CSAT Proxy 20%, AHT 15%
const factors = [
{
name: 'FCR Técnico',
name: t('executiveSummary.fcrTechnical'),
weight: '35%',
score: Math.round(fcrScore),
status: getFactorStatus(fcrScore),
insight: fcrScore >= 80 ? 'Óptimo' : fcrScore >= 50 ? 'En P50' : 'Bajo P90',
insight: fcrScore >= 80 ? t('common.optimal') : fcrScore >= 50 ? t('executiveSummary.atP50') : t('executiveSummary.lowP90'),
rawValue: `${avgFCR.toFixed(0)}%`
},
{
name: 'Accesibilidad',
name: t('executiveSummary.accessibility'),
weight: '30%',
score: Math.round(abandonoScore),
status: getFactorStatus(abandonoScore),
insight: abandonoScore >= 80 ? 'Bajo' : abandonoScore >= 50 ? 'Moderado' : 'Crítico',
insight: abandonoScore >= 80 ? t('common.low') : abandonoScore >= 50 ? t('executiveSummary.moderate') : t('common.critical'),
rawValue: `${avgAbandonmentRate.toFixed(1)}% aband.`
},
{
name: 'CSAT Proxy',
name: t('executiveSummary.csatProxy'),
weight: '20%',
score: Math.round(csatProxyScore),
status: getFactorStatus(csatProxyScore),
insight: csatProxyScore >= 80 ? 'Óptimo' : csatProxyScore >= 50 ? 'Mejorable' : 'Bajo',
insight: csatProxyScore >= 80 ? t('common.optimal') : csatProxyScore >= 50 ? t('common.improvable') : t('common.low'),
rawValue: '(FCR+Aband.)'
},
{
name: 'Eficiencia',
name: t('executiveSummary.efficiencyMetric'),
weight: '15%',
score: Math.round(ahtScore),
status: getFactorStatus(ahtScore),
insight: ahtScore >= 80 ? 'Rápido' : ahtScore >= 50 ? 'En rango' : 'Lento',
insight: ahtScore >= 80 ? t('executiveSummary.fast') : ahtScore >= 50 ? t('executiveSummary.inRange') : t('executiveSummary.slow'),
rawValue: `${Math.floor(avgAHT / 60)}:${String(Math.round(avgAHT) % 60).padStart(2, '0')}`
}
];
@@ -896,9 +908,9 @@ function HealthScoreDetailed({
{/* Breakdown */}
<div className="flex-1 min-w-0">
<h3 className="font-semibold text-gray-900 mb-2">Health Score</h3>
<h3 className="font-semibold text-gray-900 mb-2">{t('executiveSummary.healthScore')}</h3>
<p className="text-[10px] text-gray-400 mb-2">
Benchmarks: FCR P10=85%, Aband. P10=3%, AHT P10=240s
{t('executiveSummary.healthScoreBenchmark')}
</p>
<div className="space-y-2">
@@ -923,7 +935,7 @@ function HealthScoreDetailed({
{/* Nota de cálculo */}
<div className="mt-3 pt-2 border-t border-gray-100">
<p className="text-[9px] text-gray-400 text-center">
Score = FCR×35% + Accesibilidad×30% + CSAT Proxy×20% + Eficiencia×15%
{t('executiveSummary.healthScoreFormula')}
</p>
</div>
</div>
@@ -934,6 +946,7 @@ function HealthScoreDetailed({
// 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);
@@ -962,17 +975,17 @@ function AgenticReadinessScore({ data }: { data: AnalysisData }) {
// Datos de tiers con descripción clara
const tiers = [
{ key: 'AUTOMATE', label: 'AUTOMATE', bgColor: 'bg-emerald-500', desc: 'Bot autónomo' },
{ key: 'ASSIST', label: 'ASSIST', bgColor: 'bg-cyan-500', desc: 'Bot + agente' },
{ key: 'AUGMENT', label: 'AUGMENT', bgColor: 'bg-amber-500', desc: 'Agente asistido' },
{ key: 'HUMAN-ONLY', label: 'HUMAN', bgColor: 'bg-gray-400', desc: 'Solo humano' }
{ 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">Potencial de Automatización</h3>
<h3 className="font-semibold text-gray-900">{t('executiveSummary.automationPotential')}</h3>
</div>
{/* Distribución por tier */}
@@ -996,7 +1009,7 @@ function AgenticReadinessScore({ data }: { data: AnalysisData }) {
<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} colas</div>
<div className="w-16 text-xs text-gray-400 text-right">{count} {t('executiveSummary.queuesLabel')}</div>
</div>
);
})}
@@ -1007,15 +1020,15 @@ function AgenticReadinessScore({ data }: { data: AnalysisData }) {
<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">Automatización completa</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">Con asistencia IA</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">
Basado en {formatNumber(totalQueueVolume)} interacciones analizadas
{t('executiveSummary.basedOnInteractions', { total: formatNumber(totalQueueVolume) })}
</p>
</div>
</Card>
@@ -1094,29 +1107,31 @@ function TopOpportunities({ findings, opportunities }: {
// 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">Impacto Económico</h3>
<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="Coste Anual"
label={t('executiveSummary.annualCost')}
/>
<Stat
value={formatCurrency(economicModel.annualSavings)}
label="Ahorro Potencial"
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">ROI 3 años</p>
<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">Payback</p>
<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>
@@ -1125,6 +1140,8 @@ function EconomicSummary({ economicModel }: { economicModel: AnalysisData['econo
}
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);
@@ -1204,7 +1221,7 @@ export function ExecutiveSummaryTab({ data, onTabChange }: ExecutiveSummaryTabPr
{onTabChange && (
<div className="bg-gray-50 rounded-lg p-4">
<p className="text-xs font-medium text-gray-500 uppercase tracking-wider mb-3">
Explorar análisis detallado
{t('executiveSummary.exploreDetailed')}
</p>
<div className="grid grid-cols-1 md:grid-cols-3 gap-3">
@@ -1218,12 +1235,12 @@ export function ExecutiveSummaryTab({ data, onTabChange }: ExecutiveSummaryTabPr
</div>
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<span className="font-medium text-gray-700 text-sm">Dimensiones</span>
<span className="font-medium text-gray-700 text-sm">{t('executiveSummary.dimensionsTab')}</span>
{dimensionesConProblemas > 0 && (
<Badge label={`${dimensionesConProblemas} críticas`} variant="warning" size="sm" />
<Badge label={`${dimensionesConProblemas} ${t('executiveSummary.criticalQueues')}`} variant="warning" size="sm" />
)}
</div>
<p className="text-xs text-gray-400">Eficiencia, resolución, satisfacción</p>
<p className="text-xs text-gray-400">{t('executiveSummary.dimensionsDesc')}</p>
</div>
<ChevronRight className="w-4 h-4 text-gray-300 group-hover:text-gray-500 group-hover:translate-x-0.5 transition-all" />
</button>
@@ -1238,12 +1255,12 @@ export function ExecutiveSummaryTab({ data, onTabChange }: ExecutiveSummaryTabPr
</div>
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<span className="font-medium text-gray-700 text-sm">Agentic Readiness</span>
<span className="font-medium text-gray-700 text-sm">{t('executiveSummary.agenticReadinessTab')}</span>
{colasAutomate.length > 0 && (
<Badge label={`${colasAutomate.length} listas`} variant="success" size="sm" />
<Badge label={`${colasAutomate.length} ${t('executiveSummary.readyQueues')}`} variant="success" size="sm" />
)}
</div>
<p className="text-xs text-gray-400">Colas elegibles para automatización</p>
<p className="text-xs text-gray-400">{t('executiveSummary.agenticReadinessDesc')}</p>
</div>
<ChevronRight className="w-4 h-4 text-gray-300 group-hover:text-gray-500 group-hover:translate-x-0.5 transition-all" />
</button>
@@ -1258,11 +1275,11 @@ export function ExecutiveSummaryTab({ data, onTabChange }: ExecutiveSummaryTabPr
</div>
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<span className="font-medium text-gray-700 text-sm">Plan de Acción</span>
<Badge label="Prioridad" variant="critical" size="sm" />
<span className="font-medium text-gray-700 text-sm">{t('executiveSummary.actionPlan')}</span>
<Badge label={t('executiveSummary.priority')} variant="critical" size="sm" />
</div>
<p className="text-xs text-gray-400">
{ahorroTotal > 0 ? `Potencial: ${formatCurrency(ahorroTotal)}/año` : 'Roadmap de implementación'}
{ahorroTotal > 0 ? t('executiveSummary.potentialPerYear', { amount: formatCurrency(ahorroTotal) }) : t('executiveSummary.roadmapImplementation')}
</p>
</div>
<ChevronRight className="w-4 h-4 text-gray-300 group-hover:text-gray-500 group-hover:translate-x-0.5 transition-all" />