PROJECT MANAGEMENT

Snapshot Sprint Velocity to Postgres and Chart the Trend

At each sprint close, records the completed cycle's velocity and metrics to a Postgres table.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSprint-close schedule fires
  • ActionFetch completed cycle issues from LinearLinearLinear
  • LogicRoll up planned, completed, carryover points
  • ActionInsert velocity snapshot into PostgresPostgreSQLPostgres
  • ActionSummarize trailing trend with LLMOpenAI
  • OutputPost velocity and trend to SlackSlack

What it does

Builds a durable velocity history instead of letting each sprint's numbers vanish. On sprint completion it writes the cycle's planned points, completed points, and carryover to Postgres, then reads the last several snapshots to describe the throughput trend.

When to use it

When you want evidence-based capacity planning rather than guessing how much the team can take on. Run it the day a cycle ends. Best for teams that estimate in points and want a queryable record for retros and forecasting.

How it works

  1. 1A schedule fires when the cycle ends.
  2. 2Pull the just-completed cycle's issues and estimates from Linear.
  3. 3Roll up planned points, completed points, and carryover into one snapshot row.
  4. 4Insert the snapshot into the velocity history table in Postgres.
  5. 5Read the trailing snapshots and have an LLM summarize the trend direction.
  6. 6Post the velocity number and trend note to the team Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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