EX

Simulation & Prediction

Back to journey: Digital Services & Channels

Scenario Simulation Workspace

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

Journey

Digital Services & Channels

KPI under simulation

Digital revenue

Current

USD 22.4M

Target

No stored target

Scenario outcome cards

Current State

Base case

Current trajectory with in-flight initiatives only.

Stated outcome
Digital revenue at stake: $1.4M / yr
Risk / trade-off
—
Digital revenue in 6 mo
USD 22.4M ACTUAL
RecommendedRecommended

Mobile money + data bundle

Bonus data for first mobile money transaction.

Stated outcome
+$1.4M / yr
Risk / trade-off
Incentive cost $0.3M
Digital revenue in 6 mo
USD 25.81M SCENARIO
Expected value
Revenue generated: USD 1.4M expected; USD 260k legacy recorded amount — excluded from current reporting · Not verified
Alternative

Cashback programme

1% cashback on payments.

Stated outcome
+$1.8M / yr
Risk / trade-off
Cost $0.9M
Digital revenue in 6 mo
not modelled
Alternative

Organic growth

No new incentives.

Stated outcome
+$0.6M / yr
Risk / trade-off
Adoption plateaus
Digital revenue 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.

Digital revenue — 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.USD 22.4MBaseline—
Mobile money + data bundleRecommendedBonus data for first mobile money transaction.USD 25.81M+$1.4M / yrIncentive cost $0.3M
Cashback programmeAlternative1% cashback on payments.—+$1.8M / yrCost $0.9M
Organic growthAlternativeNo new incentives.—+$0.6M / yrAdoption plateaus

Scenario → decision

Recommended scenario: Mobile money + data bundle — +$1.4M / yr; trade-off: Incentive cost $0.3M.

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 (+0.57 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
methodology

Digital Services methodology

Combine app analytics and transaction platforms; Attribute revenue to digital channels; Track cohort retention.

Finance Planning Dataset