HR & RECRUITING
Weekly Interview Scorecard Pipeline Digest
Each week, rolls up every active candidate's scorecard status and average panel rating from Notion into a single pipeline digest posted to the recruiting Slack channel.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionRead active candidates and scorecards from NotionNotion
- LogicCompute completion and average rating per candidate
- LogicBucket: ready / awaiting / trending no-hire
- OutputPost pipeline digest to recruiting Slack channelSlack
What it does
Once a week it reads the scorecard database in Notion, computes each active candidate's panel completion status and average rating, and groups them into clear buckets: ready to decide, awaiting scores, and trending toward no-hire. It posts the whole picture as a single digest to the recruiting Slack channel so the team sees pipeline health at a glance in standup.
When to use it
Use this when scorecard data lives in Notion but nobody looks at it until decisions are overdue. The weekly digest surfaces stalled candidates and missing feedback before they become bottlenecks.
How it works
- 1A weekly schedule fires the workflow.
- 2Read all active candidates and their scorecards from the Notion database.
- 3Compute completion status and average rating per candidate.
- 4Bucket candidates into ready to decide, awaiting scores, and trending no-hire.
- 5Post a formatted pipeline digest to the recruiting Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect NotionPages, databases, comments.
- 2Connect SlackChannels, DMs, threads, mentions.
- 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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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
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