Panel: What are the Best Ways to use Tools to Bring Data into Design?
summary
Practical tactics and tradeoffs: use heat maps and session video to reveal level problems, run cohort analysis and cluster analysis to separate early-access/marketing bias, and keep an attribution platform to avoid extrapolating from the wrong users; apply HACCP-style user-journey checkpoints to pick telemetry points, A/B only when you can frame a clear question, and deploy bots for PvP matchmaking gaps. These steps repeatedly catch balance issues, refine retention KPIs, and produce actionable design changes.
AI-written summary · about
chapters (5)
- 0:00Start
- 2:20Role as a Product Manager
- 4:22Data Important and Why Is It Important
- 27:24Audience Segmentation
- 31:35Cluster Analysis
related talks
49mPanel: Best Practices in Design, Development & Distribution of Hypercasual Games
21mRemixing Design with Data
46mDesigning for Highly Technical Domains
32mDesigning with Empathy
24mPanel Talk: Integrating UX for Improved Product Development
46mDesigning for impact
26mData, AI and design
24mWhat and Why, How to Leverage Data Science and Research