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Moneyball Analytics at Next Jump

  1. @thom_fuller Moneyball Analytics February 2018
  2. People Analytics Our intent: Technology and data that “informates” (information mated with everyone: data insights available to everyone in real-time) giving organizations an information advantage in: (1) attracting talent, (2) retaining talent, and (3) developing talent. To be able to see early signals of burnout, turnover, hiding, learning challenges – giving leaders the ability to inject programs and solutions before it’s too late. 2
  3. What have we learned about feedback? Insights in … 1) Receiving feedback 2) Giving feedback 3) Org Design iterations
  4. Receiving Feedback Insights 4
  5. LEARNING INDEX 5
  6. NOT TRYING IS WORSE THAN GETTING A BAD SCORE Leadership has to demonstrate that “taking a shot” is good. And that hiding is bad. Also – it is not intuitive, but we found that “investment in loss” is better than flat. If you are leading, you will get criticized. REDEFINE WHAT IS BAD 6 Learning NOT Learning
  7. KEY INSIGHT 7 As a leader: Receiving a lot of feedback doesn’t guarantee performance, but NOT receiving feedback highly correlated to low performers
  8. Giving Feedback Insights 8
  9. Get in the GAME 9 As a junior Next Jumper: Giving a lot of feedback doesn’t guarantee performance, but NOT giving feedback highly correlated to low performers.
  10. People naturally “rate high” (at start) Like Uber or Netflix rating – people tend to “barbell” (high or low) When feedback is new in an organization, people tend to give 3s and 4s 2 = “what you expect from them” PROS VS INTRAMURAL CANDID FEEDBACK GIVERS 10
  11. People are so unpracticed at giving feedback – it is often ambiguous. The number clarifies what you mean. Seeing role model/others of candid feedback helps improve identifying nuances. MODEL CANDID FEEDBACK : NUMBER RATING + COMMENT 11 “I really liked the summary of results – a good innovation. But overall preso was a hard follow & I think you lost a lot of people” “good job.” sh#t sandwich blow off (amateur-sport back pat)
  12. Give 5 minutes at end of meetings … VISCERAL (FAST) vs THOUGHTFUL (SLOW) 12 If you give people a lot of time to write feedback – they will logic their way to being nice / political … and water-it-down And get more “empathetic” – and the empathy lowers their directness Often, the more time you give, the less feedback you get. They forget to do it.
  13. Org Design Insights 13
  14. Make hiding uncomfortable Peer pressure is more effective to get people “in the game” INFORMATE PUBLICALLY 14
  15. KNOWN GROUP + ANONYMOUS FEEDBACK 15 Candid feedback from peers that know you Easier to see patterns Group size no less than 6. Ideal often 8 to 20. Ex: our MV21 leadership group
  16. Higher performers seek feedback more FREQUENTLY • Consistency vs intensity • The combo of both QUANTITY and FREQUENCY builds to a habit of feedback • Value is in seeing PATTERNS • It is rare that one piece of feedback is a “huge” insight – rather, seeing the patterns is insightful FREQUENCY & QUANTITY MATTER MORE THAN THE SCORE 16 Leaders of High Performing Teams Leaders of Low Performing Teams
  17. INVEST IN THE RECOVERY PROCESS 17 Feedback is often badly delivered, poorly phrased, unfair … hard to hear. But it is up to you to find the gold. Recovery Process: 1. Talk about it and “vent” with a trusted partner (“burn off” emotion) 2. Sleep on it 3. Print out and read again 4. Cross out what doesn’t resonate 5. Highlight patterns 6. Watch Video 7. Discuss with TP
  18. 18 Building “Feedback Muscles” - Level it up Build the Feedback Muscle in steps We found that building the feedback muscle takes practice Starting with safer feedback on how to make an event better, or your plan better
  19. Thank You tom@nextjump.com twitter: @thom_fuller

Notes de l'éditeur

  1. Our continued journey of building a High performance (i.e. learning) culture
  2. What we found in the data – was that just bc you go lot of feedback was not necessarily correlated to lagging performance But not getting it – hiding – WAS correlated to BAD perf As we started to redefine this expectation around feedback – we got this question from out ee’s – how do I get more feedback
  3. What we found in the data – was that just bc you go lot of feedback was not necessarily correlated to lagging performance But not getting it – hiding – WAS correlated to BAD perf As we started to redefine this expectation around feedback – we got this question from out ee’s – how do I get more feedback
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