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Network planning, technology strategy and finance teams

Rank the next sites by the customers and revenue behind each gap

A capital round has fewer sites in it than the network needs. The candidates are ranked by technical severity, and nobody can say afterwards what the money did.

Read the journey; a working session shows it running.

Seen by the customer · Planning workbench

From the record, not a run: what would reach them, on Planning workbench.

The case

Annotated from the record

What happened

A capital round has fewer sites in it than the network needs, and the candidates are ranked by technical severity alone.

A capital round has fewer sites in it than the network needs. The candidates are ranked by technical severity, and nobody can say afterwards what the money did.

What it reads

  • Telemetry and topology for each candidate
  • The demand forecast and cell-level revenue attribution
  • Cost per site and finance's approval position
  • Maintenance freezes and change policy

Checks before anything is sent

Telemetry quality, topology match, finance approval, maintenance freeze and change policy checks pass.

Every option considered, including doing nothing

  1. The sites ranked by customers, revenue and cost togetherConsidered
  2. A capacity change on an existing site instead of a new oneConsidered
  3. Rehoming traffic while the site waitsConsidered
  4. No investment, where the forecast does not justify itConsidered

Doing nothing is one of the outcomes, and it is recorded with its reason. The options are the record's own; a run decides between them.

Evidence record

Preview
Reference
The reference of the saved run.
Decision
One of the options, including no action, with the reason.
Checks
Telemetry quality, topology match, finance approval, maintenance freeze and change policy checks pass.
Evidence kept
  • Telemetry snapshot
  • topology version
  • demand forecast
  • cell-level revenue attribution
  • recommendation
  • approval
  • change ticket
  • before/after KPIs
The measures
Traffic, revenue and experience at the built sites against the forecast that justified them.
Connection
Written on every record: the systems the run read, and the sample it ran on.

The shape of the record, with no values. A reference appears only after a run is saved.

The improvement, and how it is measured

Hypothesis

A site chosen by the customers behind it can be shown to have paid; a site chosen by the loudest alarm cannot.

Modelled

The mechanism that could produce the result, stated; the figure is measured in the pilot.

Observed

Measured in a pilot’s validate stage, on your systems, against a comparison agreed first.

The result, the mechanism, the measurement, and the record’s five answers
Desired result
Improved service and reliability; lower cost/energy; better CAPEX prioritisation; reduced MTTR
Mechanism
Collect → validate topology → detect/forecast → quantify impact → recommend → human/controller approve → execute → verify service/economic result → learn
Measurement

Matched site/cell comparison, stepped-wedge rollout or before/after with seasonality controls; technical and economic acceptance criteria

Measured on: Service experience; utilisation; incidents; MTTR; repeat fault; avoided congestion; cost; energy; affected customers; incremental/retained value

  1. 01
    Desired result

    The result wanted.

    Improved service and reliability; lower cost/energy; better CAPEX prioritisation; reduced MTTR

  2. 02
    Mechanism

    The mechanism that could produce it.

    Collect → validate topology → detect/forecast → quantify impact → recommend → human/controller approve → execute → verify service/economic result → learn

  3. 03
    Evidence required

    The records kept to show it.

    Telemetry snapshot; topology/version; recommendation; approval/change ticket; controller response; before/after KPI; finance validation

  4. 04
    Costs and risks

    The cost, and the ways it can go wrong.

    Costs: Implementation + annual licence by network scale/use case; optional managed analytics; verified savings only with agreed finance baseline

    If it fails: Default to observe/recommend; never make unapproved network change; open incident; preserve last-known-good config and audit trail

  5. 05
    Measurement approach

    The measure that shows it helped.

    Matched site/cell comparison, stepped-wedge rollout or before/after with seasonality controls; technical and economic acceptance criteria

    Measured on: Service experience; utilisation; incidents; MTTR; repeat fault; avoided congestion; cost; energy; affected customers; incremental/retained value

Measured in the pilot's validate stage, on your systems, with the comparison agreed first. Every line above is the record's own design intent.

The business side

The change
Traffic, revenue and experience at the built sites against the forecast that justified them.
Running cost
Implementation + annual licence by network scale/use case; optional managed analytics; verified savings only with agreed finance baseline
What evidence supports it
Telemetry snapshot, topology version, demand forecast, cell-level revenue attribution, recommendation, approval, change ticket and before/after KPIs.

The journey in detail

Step by step, from both sides
StepWhat the customer experiencesWhat the operator does
The momentThe moment that started it.A capital round has fewer sites in it than the network needs, and the candidates are ranked by technical severity alone.Reads telemetry and topology for each candidate, the demand forecast and cell-level revenue attribution, cost per site and finance's approval position, maintenance freezes and change policy.
The decisionThe decision to be made.The customer's screen is unchanged.Ranks candidate sites by the customers, revenue and cost behind each gap, with the demand forecast, and recommends the order.
The safeguardsThe conditions that stop it.Still unchanged: the action waits until every check has passed.Telemetry quality, topology match, finance approval, maintenance freeze and change policy checks pass.
The actionThe action that reaches the customer.Hand the ranked recommendation to the change authority with its evidence; build only what the authority approves. Reaches them on Planning workbench.Recommends. The system that holds the right confirms, charges or provisions.
When it goes wrongThe failure, and the recovery.The demand forecast is built on a quarter with a festival in it, and the top-ranked site is empty by the time it is built.The before-and-after KPI shows the miss, the forecast's window is corrected with the evidence, and the finance validation records the site's actual benefit rather than the forecast's.
The resultThe change it made.What changed for them is what is counted; nothing else is claimed.Traffic, revenue and experience at the built sites against the forecast that justified them.
The proofThe proof anyone can check.Can be answered for, later, from the record.Telemetry snapshot, topology version, demand forecast, cell-level revenue attribution, recommendation, approval, change ticket and before/after KPIs.

Operator systems remain authoritative. HeuriTel reads these to propose an action; it does not decide on their behalf.

The failure, and the recovery

What goes wrong

The demand forecast is built on a quarter with a festival in it, and the top-ranked site is empty by the time it is built.

What happens then

The before-and-after KPI shows the miss, the forecast's window is corrected with the evidence, and the finance validation records the site's actual benefit rather than the forecast's.

The products in this journey

Available to see today

Read the journey; a working session shows it running.

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