Using behavioural data from products — events, funnels, retention — to understand how people actually use features and where they drop off, informing design and personalisation decisions.
Category
Analytics & Behaviour
Talks that might mention this method (33)
- Demystifying Product Strategy
- Killing Products
- Killing Products
- Design Research in Banking
- Advancing Behavioral Science through AI and Digital Health
- Framework Keynote - Code Connect and Variables
- Win with PLG: Self-Serve Experiences for B2B Products
- How designers will reinvent manufacturing
- Why Personalisation is like Detective Work
- Personalisation as a Platform
- Progressing UX from the tactical to the strategic
- The iCrossing Connected Brand index: how to measure a brand’s effectiveness online
- Practical analytics techniques
- Combining Analytics and User Research
- Under the Hood of Google Analytics
- Finding the Narrative in Numbers: Making the Most of Metrics
- Why Personalisation is like Detective Work
- Personalisation as a Platform
- Your measurement is a mess & GA is the problem!
- Predicting winners
- How to use analytics to improve form conversion
- Checkout Conversion Killers: How to find and fix them
- The Future of Forms: Where We're Going, We Don't Need Forms... Or Do We?
- Stories & Numbers - A Framework for Measuring Engagement
- Research <3 Data: Building Stronger Alliances with Data Analytics
- Demystifying Product Strategy
- Shiny Policies: Dashboards to Aid British Government Decisions (using R)
- Driving Product Strategy With the North Star Metric Framework
- Activation 101
- Personal UX is the only UX that matters
- Build Better Products with Emotional data
- Measuring Design Quality
- Unleashing the Power of UX KPIs