Make every design decision with real player data — Taskade Genesis gives game researchers and designers a live UX research hub where an AI agent synthesizes playtest observations, surfaces patterns across sessions, and links findings directly to the design backlog, so insights actually change the game.
What Is a Game User Research Planner Template?
A game user research planner template is a structured workspace for planning playtest sessions, logging observations, tagging feedback by game area, synthesizing insights, and tracking which findings have been actioned in the design backlog.
Why Use a Game User Research Planner Template?
Player feedback collected but never organized is useless. A structured research hub turns raw observations into prioritized design actions.
- AI synthesis: after each session, describe the observations and the agent produces a structured insight report with patterns and recommendations.
- Relational links: connect each insight to the game area, design ticket, or patch it influenced via the Relationship field.
- Table view for analysis: compare feedback across multiple playtest sessions in a Table view to spot recurring friction points.
- Autopilot scheduling: reliable automations send playtest invites, reminder emails, and post-session feedback forms automatically.
- Persistent memory: the agent remembers all prior playtest findings so it can flag when a design change re-introduces a solved problem.
Who Should Use a Game User Research Planner Template?
- UX researchers at studios running structured playtest programs.
- Lead designers who want player insight tied directly to the design backlog.
- Indie developers running informal friend-and-family playtests with a structured approach.
- QA teams using player observation data to prioritize bug and UX fixes.
- Publishers running focus groups across multiple platform audiences before launch.
How To Use This Template?
- Click Use Template to clone the research hub — live and ready in about 10 seconds, no per-seat lock-in.
- Plan your playtest sessions with dates, participant profiles, and focus areas.
- Log raw observations during each session; the AI agent synthesizes them into a structured insight report.
- Use the Relationship field to link insights to the relevant design tickets or features.
- Review the Table view after each sprint to see which insights have been actioned and which are still pending.
See /learn/projects/databases for relational data setup, discover more at /ai/apps, and explore research templates at /community.