The 80:20 of Product Features: Using Analytics to Discover What Your Users Really Need
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The document discusses the Pareto Principle, highlighting that a small percentage of causes often leads to the majority of effects across various domains such as team productivity, sales, and software issues. It emphasizes the importance of analytics in understanding user behavior and the potential insights that can be derived from both present and absent data. Additionally, it cautions against misinterpretation of data and correlation without causation.
The 80:20 of Product Features: Using Analytics to Discover What Your Users Really Need
- 1. The 80/20 of Product Features Using Analytics to Discover What Your Users Really Need
- 7. The Pareto Principle • 80/20 Rule • law of the vital few and the trivial many • principle of factor sparsity
- 8. –Wikipedia “The Pareto principle states that, for many events, roughly 80% of the effects come from 20% of the causes.”
- 9. 80% of project politics come from 20% of the stakeholders
- 10. 80% of work is completed by 20% of your team
- 11. 80% of sales comes from 20% of your products
- 12. 80% of sales come from 20% of your clients
- 13. Technology • 80% of software problems are caused by 20% of bugs • 80% of customers only use 20% of the features
- 14. Mobile App - Personal Health
- 15. Mobile App - Religion
- 16. Mobile App - Healthcare
- 17. Mobile App - Celeb News
- 19. – Wikipedia “Analytics is the discovery, interpretation, and communication of meaningful patterns of data”
- 20. – Wikipedia “Analytics is the discovery, interpretation, and communication of meaningful patterns of data”
- 21. “We must be cautious, that as we search for an epiphany within our data, that an apophany we do not create.”
- 22. “Correlation does not imply causation.”
- 23. “data, like any evidence, is subject to interpretation based on beliefs and assumptions”
- 24. “Analytics, most often, are used to read affirmative data points. But what can we learn from absent data?”
- 25. What about the folks that didn’t visit our site?
- 26. What about the folks that didn’t download our app?
- 27. What about the API call that never succeeded?
- 28. What about the button that was never clicked?
- 29. What about the button that is only ever half clicked?
- 30. What about the menu options never chosen?
- 31. Gathering Data
- 32. #1 Grab Early
- 34. #3 Grab More
- 35. Summary