TICKET MANAGEMENT
Sprint-End Spillover Accuracy Digest
At sprint close, compares which tickets actually slipped against the mid-sprint forecast stored in BigQuery, scores prediction accuracy.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule fires at sprint end
- ActionFetch final ticket outcomes from ClickUpClickUp
- ActionRead mid-sprint predictions from BigQueryBigQuery
- LogicMatch predicted vs actual slips and score accuracy
- ActionWrite retro digest with OpenAIOpenAI
- OutputPost digest to SlackSlack
What it does
This workflow closes the loop on forecasting. At sprint end it pulls the final ClickUp outcome, compares it to the mid-sprint slip predictions logged in BigQuery, and reports how accurate the forecast was alongside the actual carry-over list for retro.
When to use it
Run it at sprint close to feed your retrospective and to keep the forecasting model honest over time. Use it when you want a record of forecast accuracy, not just predictions that vanish once the sprint ends.
How it works
- 1A schedule fires at sprint end.
- 2Final ticket outcomes are fetched from ClickUp.
- 3The earlier mid-sprint predictions are read from BigQuery.
- 4A logic step matches predicted slips against actual slips and computes precision and recall.
- 5OpenAI writes a retro digest covering accuracy, carry-over tickets, and patterns to watch.
- 6The digest is posted to the team Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect ClickUpDocs + tasks + chats in one workspace.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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