Scaling Innovation NZ
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Transcript of Scaling Innovation NZ
● Expedia’s growth
● Lean - TPS - The Scientific Method
● Iteration Cycle - WIGWAM
● Minimum Viable Product - MVP
● Analytics and UX/CX Research
● Tools and Techniques
Agenda
Image from Eric Rees and Lean Startup Co - https://twitter.com/leanstartup
Lean = Build + Measure + Learn
https://en.wikipedia.org/wiki/Scientific_method
The Iteration Cycle is a process that you can use to improve anything over time.
Josh Kaufman in his book “The Personal MBA”
coins the term WIGWAM
Watch, Ideate, Guess, Which/Choose, Act, Measure
More information on https://personalmba.com/iteration-cycle/
Based on ideas from Henrik Kniberg article http://blog.deming.org/2014/11/minimal-viable-product/ and coined by Eric Ries
MVP - Minimum Viable Product
Idea diffusion from Crossing the Chasm - https://en.wikipedia.org/wiki/Crossing_the_Chasm
See full talk/transcript https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action/transcript?language=enGolden circle from: http://blog.hubspot.com/customers/3-takeaways-from-start-with-why
…when TiVo launched their product, they told us all WHAT they had. … the cynical majority said,
"We don't believe you. We don't need it. We don't like it. You're scaring us."
WHY
HOW
WHAT
Based on ideas from this article https://www.nngroup.com/articles/which-ux-research-methods/
User Research Methods
Behaviour
Attitude
User Labs
Ethnographic Studies
Focus groupsInterviews
Card Sorting
Eye trackingFacial ExpressionHeartbeat
Clickstream analysisA/B Testing
Unmoderated UX/Eg. usertesting.com
Email SurveyWebsite popup
Quantitative Qualitative
Left graphes from https://engineering.pinterest.com/blog/demystifying-seo-experiments Right graph from http://google-opensource.blogspot.com.au/2014/09/causalimpact-new-open-source-package.html
Bayes, Thomas (b. 1702, London - d. 1761, Tunbridge Wells, Kent), mathematician who first used probability inductively and established a mathematical basis for probability inference (a means of calculating, from the number of times an event has not occured, the probability that it will occur in future trials).
Takeaways
1. Embrace a feedback loop to listen to your customers and partners
2. Enable Science over Process (continuously improve)
3. Utilise technology for collaboration