EX

Simulation & Prediction

Back to journey: Customer Experience

Scenario Simulation Workspace

Compare current state, no action, recommended, upside and downside scenarios for one journey or issue.

Journey

Customer Experience

KPI under simulation

NPS

Current

+31

Target

No stored target

Scenario outcome cards

Current State

Base case

Current trajectory with in-flight initiatives only.

Stated outcome
NPS decline: -2 pts
Risk / trade-off
—
NPS in 6 mo
+31 ACTUAL
RecommendedRecommended

Self-service shift

Push app and USSD self-care.

Stated outcome
+4 NPS
Risk / trade-off
Adoption risk among older users
NPS in 6 mo
+35.11 SCENARIO
Expected value
Cost reduced: USD 400k expected; USD 90k legacy recorded amount — excluded from current reporting · Not verified
Alternative

Add care agents

Hire 60 temporary agents.

Stated outcome
+2 NPS
Risk / trade-off
Cost $0.5M
NPS in 6 mo
not modelled
Alternative

Combined

Self-service plus 20 agents.

Stated outcome
+5 NPS
Risk / trade-off
Cost $0.2M
NPS in 6 mo
not modelled

Not stored for this journey: No Action, Upside, Downside. Shown as a gap rather than invented.

Scenario comparison — stated value vs cost/risk (USD M)

Amounts parsed from each scenario's stored results; ★ = recommended. Non-monetary outcomes plot as zero.

Risk / return matrix

Top-left = high value for low stated cost/risk.

NPS — actual vs scenario paths

ACTUALFORECASTSCENARIO

Same projection as the journey Predict stage and the Forecasting page. Open full forecast →

Comparison table

ScenarioRoleAssumptionsProjected KPI (6 mo)Stated impactRisk / trade-off
Base caseCurrent StateCurrent trajectory with in-flight initiatives only.+31Baseline—
Self-service shiftRecommendedPush app and USSD self-care.+35.11+4 NPSAdoption risk among older users
Add care agentsAlternativeHire 60 temporary agents.—+2 NPSCost $0.5M
CombinedAlternativeSelf-service plus 20 agents.—+5 NPSCost $0.2M

Scenario → decision

Recommended scenario: Self-service shift — +4 NPS; trade-off: Adoption risk among older users.

No decision is saved here; the decision is recorded in the journey at Decide.

Source data, assumptions, methodology & limitations

Source data

  • Telecom KPI data (current period, target, prior)
  • Historical KPI trend data (monthly history Apr–Sep 2026)
  • Scenario library (assumptions, results, recommended flag)
  • Value realization records (expected / actual value)
  • Evidence records

Assumptions

  • 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).
  • Scenario outcomes, costs and risks are as stored for each scenario.

Methodology

  • Scenarios of the selected journey are ordered Current State → No Action → Recommended → Upside → Downside → Alternatives.
  • With an originating issue, alternatives sharing no words with the issue move to the bottom of the table.
  • Projected KPI per scenario uses the shared deterministic forecast; only Current State, No Action and Recommended are modelled.

Limitations

  • Scenario outcomes are governed figures stored with each scenario — they are not re-computed by a simulation engine.
  • 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 (KPI projection); scenario outcomes as statedModel 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