Making Your Case for Impact: The Story and the Algorithm
- 1. MAKING YOUR CASE FOR IMPACT July 30, 2012 Twitter: @mayurhpatel
- 2. THE STORY & THE ALGORITHM to Credit: Flickr user Koen Vereeken
- 3. (A) Data as the new Element
- 4. YOUR (and your organization’s) “INSIGHT IQ” Source: Corporate Executive Board Company (CEB)
- 5. Unquestioning Empiricists Visceral Decision makers Informed Skeptics
- 6. Photo Credit: Flickr user Patrick Hoesly (B) DESIGN MATTERS
- 7. MAKERS OF MEANING Photo Credit: Flickr user Johnmuk
- 9. WHY MEASURE?
- 10. What’s wrong with this picture? / Source: flickr.com/photos/zoetnet/5824921697/
- 12. “Would you drive a car whose speedometer was bolted on after the fact? On the outside of the car? With the only measurement being the average speed since your last stop? Based on an end-of-trip poll of the passengers in the car as to how fast the trip felt? Oh, and finally, the results of which required an expert to read and interpret? Right. I didn't think so.” Michael Gilbert, The Gilbert Center
- 13. FOUR Lessons ONE Exercise THREE Trends
- 14. 4 LESSONS
- 15. 1. Only Collect What you will Act On
- 18. “Data isn’t like your kids, you don’t have to pretend to love them equally.” Amanda Cox, NYT Design Group
- 19. Juice Analytics white paper
- 20. 2. Understand the Incentives Your Measures Create
- 21. “Bucks + Acres”
- 22. 3. Vanity Metrics on the Web: Be Careful
- 23. Hidden behind the Cumulative Source: The Lean Startup by Eric Ries
- 25. TIPS New vs Returning Deepening Engagement Identified Data
- 26. 4. Use Your Data to Tell a Story
- 28. Trajectory of Research in Social Sector is to the PDF Digital Distribution to Digital Information
- 29. Our Journey…
- 30. DIY Tools Have Arrived
- 31. 1 EXERCISE
- 32. Instructions for Group Exercise 1. Form groups of 5; sit close 2. Invite one person to be the host 3. Discuss the question and generate insights for 10 mins while host takes notes 4. Hosts will present highlights from their conversations during the large group report out.
- 33. Group Exercise • Think about an occasion when you were able to communicate data or findings from your work to a key audience that helped advance your mission. • What was the audience and why do you think you were successful in sharing your story?
- 34. 3 TRENDS
- 35. #1 OPENNESS Transparency is the New Currency
- 37. #2 BIG DATA Data as Product
- 41. Recommendations: Outcomes and Metrics
- 42. Recommendations: Learning and Psychology