AI Snips
Chapters
Transcript
Episode notes
Google Way Redesign
- Google's 'Hats' revealed user dissatisfaction with a Google Way redesign despite unchanged usage.
- This demonstrated the importance of attitudinal data alongside behavioral data.
A/B Testing with Hats
- Use A/B testing with Hats to evaluate attitudinal impact alongside behavioral effects.
- This helps identify which version leads to higher user satisfaction, even with similar usage.
Data Triangulation
- Triangulate survey data with qualitative research and behavioral logs.
- This gives a richer, more comprehensive user experience understanding.