EX

Simulation & Prediction

Back to journey: Customer Experience

Forecasting

Historical actuals with run-rate, no-action and recommended-action projections against target.

Latest actual

ACTUAL

+31

Run-rate (6 mo)

FORECAST

+31

No action (6 mo)

FORECAST

+26.89

Recommended (6 mo)

SCENARIO

+35.11

Target

TARGET

Not stored

NPS — Customer Experience

Solid = stored actuals (Historical KPI trend data). Dashed = deterministic projections in the shaded period. Band = ±1σ of historical residuals around the no-action line, widening with horizon. Direction of good: higher.

Forecast table

PeriodTypeActualRun-rateNo actionRecommendedSpread (±1σ)
Apr 26ACTUAL+35
May 26ACTUAL+34
Jun 26ACTUAL+34
Jul 26ACTUAL+33
Aug 26ACTUAL+33
Sep 26ACTUAL+31
Oct 26FORECAST—+31+30.31+31.69+29.78 – +30.84
Nov 26FORECAST—+31+29.63+32.37+28.89 – +30.37
Dec 26FORECAST—+31+28.94+33.06+28.03 – +29.85
Jan 27FORECAST—+31+28.26+33.74+27.21 – +29.31
Feb 27FORECAST—+31+27.57+34.43+26.39 – +28.75
Mar 27FORECAST—+31+26.89+35.11+25.6 – +28.18

Source data, assumptions, methodology & limitations

Source data

  • Telecom KPI data (current period, target, prior)
  • Historical KPI trend data (monthly history Apr–Sep 2026)

Assumptions

  • Run-rate baseline: holds the latest stored actual flat.
  • No action: continues the 6-month stored trend (-0.69 per month).
  • Recommended action: reverses the trend at the same monthly rate (no stored target).

Methodology

  • Least-squares straight line through 6 stored months (slope -0.686 per month).
  • Residual standard deviation σ = 0.526; spread = σ × √(months ahead).
  • Identical arithmetic feeds Decision Journey Stage 5 — Predict.

Limitations

  • Forecasts are straight-line projections of six stored months; they ignore seasonality, shocks and interactions between measures.
  • Many KPIs have no stored target; where absent, the recommended path reverses the trend at the same monthly rate.
  • No downside scenario is stored for any journey; downside coverage is shown as a gap rather than invented.
Forecast horizon: 6 months (Oct 2026 – Mar 2027)Model status: deterministic arithmetic — no AI or machine-learning model.
Evidence typeItemSource
limitation

Survey sample size

Demo NPS sample of 2,000 responses per quarter; ±2 pts margin of error.

Customer Experience Survey
methodology

Customer Experience methodology

Combine survey, care and network experience data; Classify complaints by root cause; Track digital channel adoption.

Finance Planning Dataset