Customer validation with Diary Studies
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I modified my diary study talk for LeanCamp, a one-day unconference for Lean Startup practitioners and fans.
![Customer Validation using Diary Studies ,[object Object],[object Object],@boonych • #leandiary](https://image.slidesharecdn.com/customervalidationdiarystudies-120116055200-phpapp01/85/Customer-validation-with-Diary-Studies-1-320.jpg)
![About me ,[object Object],[object Object],[object Object],[object Object],@boonych • #leandiary uxcamplondon.org](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Customer validation with Diary Studies
- 5. Some assumptions @boonych • #leandiary
- 10. Customer Validation @boonych • #leandiary Diary Studies help here
- 15. @boonych • #leandiary Users record thoughts, comments, etc. over time http://www.flickr.com/photos/vanessabertozzi/877910821 http://www.flickr.com/photos/yourdon/3599753183/ http://www.flickr.com/photos/stevendepolo/3020452399/ http://www.flickr.com/photos/jevnin/390234217/ Interview users Gather feedback, data Organise and analyse (affinity maps, analytics)
- 17. No one right way to collect data @boonych • #leandiary Structured Yes/no Select a category Date & time Multiple choice Unstructured Open-ended Opinions / thoughts / feelings Notes / comments http://www.flickr.com/photos/roboppy/9625780/ http://www.flickr.com/photos/vanessabertozzi/877910821 Combine / mix & match
- 22. Ideas! @boonych • #leandiary http://www.flickr.com/photos/danieloop/5336396524/
- 25. Map diary to session tracking @boonych • #leandiary Validate diary data against your metrics. Customers sometimes behave differently than what they say. Make the data richer.
Notes de l'éditeur
- Rapid prototyping Kitchen startup Uxcamplondon.org Follow @boonych #leandiary
- Definition of lean startup
- Validate means finding out what customers _really_ want, not what we think they want or what they say they want Quickly means validated, actionable, testable, repeatable
- Another assumption: research should also be validated. Not ‘fake’ customers, but real ones.
- Note: give an example here
- FIX THE PHOTO
- Weird things may come out of this. May only make sense in the future. Don’t just dismiss data. Keep them, it may be useful later.
- Iterate also on your research method