~/talk

Let’s Work Together! How to Improve Your Game With Your Players. Cooking Diary Case Study.

Talkat Pocket Gamer Connects Digital #2 · 2020-06-08..06-12
links:none on file
slides:none on file

Cooking Diary uses analytics, external playtests before soft launch, in-game and social surveys, and machine-learned review tagging to find specific problems: tutorial drop-off in the first session, hand placement hiding UI, rare device bugs, and monetization dislikes. A player vote put NPC Adam into events; user-created outfits were sold and delivered a 5% offer conversion. Results show steady climb on top-grossing charts, multiple people’s-choice awards, and clearer hypotheses for A/B tests rather than vague “more examples.”

AI-written summary · about

  1. 0:00Introduction
  2. 2:24Company Overview
  3. 4:13What is Cooking Diary
  4. 7:42Playtesting
  5. 11:28Reviews
  6. 13:40Machine Learning
  7. 14:30Questionnaires
  8. 16:45Outfits
  9. 18:15Summary
  10. 18:44Discussion
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