PROJECT MANAGEMENT

Weekly scope-creep trend report for sprint retros

At the end of each week, tallies how many points were added to the active cycle after start versus the original commitment, compares it to prior weeks from a Postgres log.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly end-of-sprint schedule
  • ActionDerive injected points from Linear cycle estimatesLinearLinear
  • ActionAppend week to Postgres history and read recent weeksPostgreSQLPostgres
  • LogicCompute trend and flag if over threshold
  • OutputPublish trend report to Confluence retro spaceConfluenceConfluence

What it does

Measures scope discipline over time. It computes this week's injected-points figure, appends it to a running history, and renders a trend showing whether mid-sprint additions are getting better or worse sprint over sprint — the evidence a retro needs to act on creep rather than just complain about it.

When to use it

Use it when you want creep treated as a tracked metric, not an anecdote. It gives team leads and EMs a longitudinal view to bring to retros and to defend or renegotiate planning capacity.

How it works

  1. 1**Trigger** — A weekly schedule fires at end of sprint week.
  2. 2**Action** — Pull the cycle's committed-at-start estimate and current total from Linear; derive injected points.
  3. 3**Action** — Append the week's figure to a scope-history table in Postgres and read back recent weeks.
  4. 4**Logic** — Compute the trend and flag if injected points exceeded a configured threshold.
  5. 5**Output** — Publish a formatted trend report page to the team's Confluence retro space.

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 ConfluenceSpaces, pages, blueprints.
  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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