CUSTOMER SUPPORT
ReadMe Doc Half-Life to Notion Refresh Tickets
Reads ReadMe page analytics on a schedule, models each doc's deflection half-life.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionFetch page analytics + votes from ReadMeReadMe
- LogicModel half-life and decay curve
- LogicSelect pages below half of peak deflection
- OutputCreate prioritized refresh tickets in NotionNotion
What it does
Applies a half-life model to your ReadMe developer docs: every page has a peak deflection moment after publish, then decays as the product and FAQs drift. This workflow estimates each page's half-life and creates a structured refresh task the moment a page falls below half its peak effectiveness — well before the related ticket volume rebounds.
When to use it
Use it for fast-moving product or API docs where pages silently go stale and support absorbs the fallout. Best when your docs live in ReadMe and your content backlog lives in Notion.
How it works
- 1A scheduled trigger starts the weekly pass.
- 2Fetch per-page views, search-exit rates, and helpful/unhelpful votes from ReadMe.
- 3Estimate each page's deflection peak and decay curve, deriving a half-life value.
- 4A logic branch selects pages now below 50 percent of peak deflection that still draw meaningful traffic.
- 5For each selected page, create a Notion refresh ticket pre-filled with the page link, decay metrics, and a suggested priority.
- 6The Notion database becomes the living refresh backlog the docs team works from.
Set it up
What you configure once, before turning it on.
- 1Connect ReadMeAPI docs, changelog, auth.
- 2Connect NotionPages, databases, comments.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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