Pipeline read you can trust
Assess every clause against defined criteria rather than optimistic self-reporting.
— Sales & Growth
Customer churn & renewal risk
Upload one account export with a row per customer and a column recording what happened at renewal (e.g. 'Renewal outcome' = Renewed/Churned, blank for accounts not yet up).
- Sales & Growth
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For a full population, not a sample
No coding required
- Input
- CRM exports, deal notes or call records
- Output
- A scored view of each clause with reasons shown
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Customer churn & renewal risk for
Patterns across the whole book
See what repeats across the contract portfolio instead of the loudest recent deal.
Action, not just insight
Each finding lands with a recommended next move and the evidence behind it.
What it works from
- CRM exports, deal notes or call records
- Your qualification criteria, ICP or scoring rules
What you get back
- A scored view of each clause with reasons shown
- A prioritised action list for the team
— HOW IT BEHAVES
How Customer churn & renewal risk produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Every row of the contract portfolio
Each row of your export is processed on the same basis, so no clause is skipped however long the table is.
Composed as work product
Findings on the contract portfolio are written up as a document that reads like professional output, with each claim tied back to a clause.
Roll-up alongside clause-level detail
Detail rows are summarised into the grouped view of the contract portfolio without losing the underlying clauses.
Why this is expensive by hand
Reading the contract portfolio usually depends on what reps put in the CRM and what a leader remembers from calls. Pipeline read you can trust is the typical trigger — assess every clause against defined criteria rather than optimistic self-reporting. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; a scored view of each clause with reasons shown comes out, alongside a prioritised action list for the team. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Revenue and commercial leaders
- Sales operations and enablement teams
- Customer success and account management leads
- Consultants advising on go-to-market
Run it in Skillsize — or export it anywhere
Customer churn & renewal risk 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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