EX

Simulation & Prediction

Back to journey: Subscriber Growth

Scenario Simulation Workspace

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

Journey

Subscriber Growth

KPI under simulation

Net adds

Current

+68k

Target

No stored target

Scenario outcome cards

Current State

Base case

Current trajectory with in-flight initiatives only.

Stated outcome
Net adds shortfall vs plan: -9k / month
Risk / trade-off
—
Net adds in 6 mo
+68k ACTUAL
No Action

Status quo

No change to acquisition approach.

Stated outcome
+68k / month
Risk / trade-off
Base growth below plan
Net adds in 6 mo
+26.34k SCENARIO
RecommendedRecommended

Distributor incentives

Higher commission and stock financing in North.

Stated outcome
+80k / month
Risk / trade-off
Commission cost +$0.2M
Net adds in 6 mo
+109.66k SCENARIO
Expected value
Revenue generated: USD 800k expected; USD 120k legacy recorded amount — excluded from current reporting · Not verified
Alternative

Digital-first acquisition

Push eSIM and app onboarding.

Stated outcome
+74k / month
Risk / trade-off
Slower ramp-up
Net adds in 6 mo
not modelled

Not stored for this journey: 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.

Net adds — 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.+68kBaseline—
Status quoNo ActionNo change to acquisition approach.+26.34k+68k / monthBase growth below plan
Distributor incentivesRecommendedHigher commission and stock financing in North.+109.66k+80k / monthCommission cost +$0.2M
Digital-first acquisitionAlternativePush eSIM and app onboarding.—+74k / monthSlower ramp-up

Scenario → decision

Recommended scenario: Distributor incentives — +80k / month; trade-off: Commission cost +$0.2M.

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 (-6.94 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

Subscriber Growth methodology

Reconcile gross adds, churn and net adds; Segment by channel and region; Benchmark share using regulator returns.

Finance Planning Dataset