Sales & Growth

Churn early-warning & save plan

Combines NPS movement, ticket velocity, usage drop-off and billing changes into a churn score per account, then drafts the save play with the ARR at risk quantified.

  • Sales & Growth
  • Traceable reasoning
  • Runs anywhere
Preview methodology

2–3 weeks ~40 minutes

For a full population, not a sample

No coding required

Input
Documents, exports or uploads you already hold
Output
A structured, review-ready deliverable
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 weeks per run

— USE CASES

What people use Churn early-warning & save plan for

Repeatable client analysis

Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.

Faster first drafts

Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.

Comparable results over time

Produce the same shape of output each cycle so movement is measurable rather than re-argued.

What it works from

  • Documents, exports or uploads you already hold
  • Your own criteria, framework or house method

What you get back

  • A structured, review-ready deliverable
  • A traceable record of what informed each conclusion

— HOW IT BEHAVES

How Churn early-warning & save plan produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Row-level table processing

Every row of your table is processed on the same basis, however long the table is.

Charted, not just stated

The pattern is visualised from the computed data, so the trend is legible at a glance.

Composed as work product

Findings are written up as a document that reads like professional output rather than raw model text.

Enriched row by row

Each row gains derived columns from the analysis, keeping the source data and the judgement side by side.

Roll-up alongside detail

Detail rows are summarised into the grouped view without losing the underlying lines.

Why this is expensive by hand

Every sales & growth team needs churn early-warning & save plan — and almost none of them do it the same way twice. Repeatable client analysis is the typical trigger — run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; a structured, review-ready deliverable comes out, alongside a traceable record of what informed each conclusion. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. In effect, 2–3 weeks of senior time compresses into ~40 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.

Who it's for

  • Independent consultants codifying their own methodology
  • Strategy and transformation teams standardising delivery
  • Internal advisory functions under pressure to produce faster
  • Operators who need defensible output, not a one-off chat answer

Run it in Skillsize — or export it anywhere

Churn early-warning & save plan exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.

ChatGPTClaudeCopilotAI Products (MCP)

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