TICKET MANAGEMENT

Generate a Linear cycle-end scope retrospective in Notion and announce it on Discord

When a cycle closes, builds a scope retrospective page in Notion covering committed vs delivered, every mid-cycle addition with its owner, and completion rate.

CategoryTicket Management
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCycle-end schedule fires
  • ActionPull commitment snapshot and final issue set from LinearLinearLinear
  • LogicCompute additions, completion rate, and per-person scope
  • ActionCreate scope retrospective page in NotionNotionNotion
  • OutputPost retro summary and link to DiscordDiscordDiscord

What it does

At cycle close, this workflow assembles a full scope retrospective. It pulls the cycle's commitment snapshot and final state, lists every issue added after planning along with who added it, and computes committed-versus-delivered points and completion rate. It writes all of this to a structured Notion page, then posts a short summary plus the page link to Discord so the retro is ready before the meeting.

When to use it

Use it when scope-creep alerts during the cycle are not enough and you want a permanent record per cycle to spot patterns over time. It is ideal for teams that run formal retrospectives and want the scope section pre-written and evidence-backed.

How it works

  1. 1A scheduled or cycle-completion trigger fires when the active cycle ends.
  2. 2An action step pulls the cycle's commitment snapshot and final issue set from Linear.
  3. 3A logic step computes additions, completion rate, and per-person scope contributions.
  4. 4An action step creates a structured retrospective page in Notion.
  5. 5The workflow posts the summary and Notion link to Discord.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect DiscordCommunity channels + voice + bots.
  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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