PERSONAL PRODUCTIVITY

Weekly promise-kept scorecard from Outlook commitments, published to Notion

Once a week, reconciles your tracked email promises against what was actually delivered, calculates a promise-kept rate.

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly Friday schedule
  • ActionPull this week's commitments from NotionNotionNotion
  • LogicBucket kept/missed/open and compute rate
  • ActionWrite narrative scorecard with LLMOpenAI
  • OutputPublish scorecard page to NotionNotionNotion

What it does

This workflow reviews the week's tracked email commitments, determines which were kept, missed, or still open by their due dates, computes a promise-kept percentage, and uses an LLM to write a short narrative scorecard. The report is published as a dated page in Notion to build a running record of your reliability.

When to use it

When you want accountability as a trend, not a to-do list. Founders and team leads use it for a weekly self-review, or to share follow-through metrics with a coach or manager.

How it works

  1. 1A weekly schedule trigger fires, typically Friday afternoon.
  2. 2The workflow pulls all commitments from the Notion tracker dated within the past week.
  3. 3A logic step buckets each into kept, missed, or still-open and computes the kept rate.
  4. 4An LLM writes a concise scorecard summarizing the rate, notable misses, and a trend note versus prior weeks.
  5. 5The scorecard is published as a new dated page in a Notion reports section.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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