DATA OPS

Reverse-ETL Freshness Scorecard: Daily Staleness Digest to Notion

Once a day, scores every reverse-ETL sync's freshness across the fleet and writes a ranked scorecard to Notion plus a summary to Slack, so data-ops sees trends not just spikes.

CategoryData Ops
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule
  • ActionQuery Snowflake for all models' last-sync + budgetSnowflakeSnowflake
  • LogicCompute lag-to-budget ratio; rank fleet worst-first
  • ActionAppend dated freshness scorecard page in NotionNotionNotion
  • OutputPost top-offenders digest to Slack with Notion linkSlack

What it does

This workflow produces a daily freshness scorecard for your entire reverse-ETL fleet. It pulls last-sync times for every model from Snowflake, ranks them worst-to-best by lag against their budgets, writes a dated scorecard page to Notion, and drops a top-offenders summary in Slack.

When to use it

Use it when you want a standing daily health record of every sync — for standups, trend tracking, and spotting models that are chronically near their limit rather than only paging on hard failures.

How it works

  1. 1A schedule fires once each morning.
  2. 2A Snowflake query returns last-sync timestamp and freshness budget for all reverse-ETL models.
  3. 3A logic step computes each model's lag-to-budget ratio and sorts the fleet worst-first.
  4. 4A Notion step appends a dated scorecard page with the full ranked table and a healthy/at-risk/stale tally.
  5. 5A Slack message posts the date, the count by status, and the three worst offenders linking to the Notion page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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