User Guide

Sprint Retrospectives

Generate AI-facilitated sprint retrospectives from completed stories, analyze what went well and what can be improved, and share results with the team.

Prerequisites

At least one sprint plan that has been exported to a connector. Stories must have status changes (approved, rejected, modified) to provide meaningful retrospective data.

Generating a retrospective

Navigate to "Retrospectives" in the sidebar (under Planning & Insights). Click "Generate Retrospective" and select the sprint or date range. The AI analyzes all stories in scope and produces:

  • What went well — positive patterns identified from approved/modified stories.
  • What to improve — common rejection reasons, bottlenecks, recurring gaps.
  • Action items — AI-suggested actionable improvements with owners.
  • Metrics summary — stories completed, rejected, average cycle time, velocity.
Tip: Run a retrospective early even if the sprint isn’t fully complete — the AI will work with whatever data is available and flag incomplete stories in the metrics summary.

Editing the retrospective

All AI-generated content is editable. Click any section to refine the text, add team observations, or remove irrelevant points.

Sharing

Click "Export as PDF" to download a formatted retrospective report. Click "Copy share link" to generate a time-limited public HTML page — no Storymate account required for the viewer.

Note: Share links expire after 7 days by default. You can configure the expiry window in Project Settings under Retrospectives → Share link expiry.

Saving

Retrospectives are saved to the project and listed in the sidebar. You can revisit, re-edit, or delete them at any time.

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