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Sprint 3 Client Meetings

This document records Sprint 3 discussions with Harshil, including feedback and follow-up work that informed the product backlog.

17 September 2026: Sprint 3 Product Review​

Discussed​

  • The team demonstrated the current Athlora version.
  • The client reviewed the expanding multi-discipline product direction, public statistics, result-logging workflow, club presentation, and dashboard personalisation.
  • The team discussed the remaining implementation and presentation priorities before the Sprint review.

Feature and Workflow Feedback​

  • Add downloadable statistics.
  • Implement the remaining athletics disciplines.
  • Add an explicit instruction for the AI assistant to end or sleep.
  • Make line-chart colours more distinct.
  • Reverse the order of past events.
  • Let clubs choose whether to publish results and schedules independently.
  • Add personalisation.
  • Add leaderboard statistics.
  • Let visitors export statistics from the landing page and share the resulting link.
  • Provide a result-taking link for athletes across multiple disciplines.
  • Adapt the UI for multiple disciplines.
  • Let a coach select a final entry to resolve multiple logged observations.
  • Add first, second, and third places to live loggers.
  • Add club logos and images.

Decisions and Outcomes​

  • The team recorded the requested features and refinements as Sprint 3 implementation or backlog work.
  • Multi-discipline logging, official-result selection, public statistics, schedule publication, club branding, dashboard controls, and leaderboard work became key follow-up areas.
  • The requested changes were not treated as complete at the meeting; the Sprint meeting record retains the implementation and testing follow-up evidence.

27 September 2026: Stakeholder Feedback​

  • Harshil completed the Sprint 3 stakeholder-feedback form after reviewing the deployed application.
  • The submitted response evidence is retained in Stakeholder Feedback.

Follow-Up​

  • Validate the multi-discipline and public workflows in both local and deployed environments before release.
  • Use stakeholder and user feedback alongside the bug tracker to prioritise remaining defects and presentation refinements.
  • Carry non-critical branding, performance, and workflow improvements into the next Sprint where they cannot be completed safely within Sprint 3.

AI Declaration​

This document was created from supplied client-meeting notes and project-chat evidence with the assistance of OpenCode[openai/gpt-5.6-terra].