Weekly Agent Performance Reporting
A scheduled ETL workflow that pulls paginated activity data, computes weekly metrics, upserts the results to Airtable, and posts a formatted report into Slack.
- Year
- 2026
- Engagement
- AI automation for a PropTech client
- Focus
- Automation, Data Engineering
- Status
- Delivered
01 — The problem
Weekly performance reporting is the kind of task that quietly consumes a person: pull the data, page through it, recompute the same metrics, paste the result somewhere people will read it.
02 — Our solution
Put the whole thing on a schedule. The workflow handles pagination properly, computes the metrics the same way every week, stores them where they can be queried later, and delivers the summary where the team already is.
How it works
The pipeline, step by step — from the first input to the final output.
- 01
Schedule
The workflow runs on a fixed weekly cadence.
- 02
Paginated pull
Activity data is retrieved across pages until the full period is covered.
- 03
Metric computation
Weekly metrics are computed consistently from the complete dataset.
- 04
Airtable upsert
Results are upserted so history accumulates without duplicates.
- 05
Slack report
A formatted report is posted to Slack for the team.
What we built
The outcomes
01
Weekly reporting runs without anyone remembering to do it
02
Metric history accumulates in a queryable store
03
The team reads the report where they already work
Challenges we solved
Pagination is where reports go wrong
A report that silently reads only the first page looks fine and is wrong. Completeness had to be guaranteed, not assumed.
Technology stack
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