PROJECT MANAGEMENT

Weekly scope-creep narrative report attributing added work to stakeholders

Once a week the CEO agent reads the Notion scope-creep ledger and the sprint plan, identifies which stakeholders drove the most added points and why.

CategoryProject Management
Enginepaperclip
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFriday weekly schedule
  • ActionRead ledger and committed scopeNotionNotion
  • LogicAnalyze additions by stakeholder and theme
  • LogicEscalate vs routine summary threshold
  • ActionWrite narrative report to NotionNotionNotion
  • OutputPost summary and link to SlackSlack

What it does

This agent-driven workflow turns a raw scope ledger into a readable weekly narrative. It reads the logged mid-sprint additions, reasons about patterns by stakeholder and theme, and writes an honest report on where committed scope eroded and who requested the changes.

When to use it

Use it when a row-by-row ledger is too noisy for leadership and you want a synthesized weekly read: which stakeholders keep expanding scope, the recurring themes, and the impact on the original commitment.

How it works

  1. 1A weekly schedule trigger kicks off the agent on Friday afternoon.
  2. 2An action reads the Notion scope-creep ledger rows and the original committed sprint scope.
  3. 3The agent analyzes additions by stakeholder and theme, computing total added points versus committed points and flagging repeat requesters.
  4. 4A logic step decides whether scope growth crossed a threshold worth escalating versus a routine summary.
  5. 5An action writes the narrative report into a Notion leadership page.
  6. 6An output posts the report summary and a link to the leadership Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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