FEEDBACK:ANALYTICS

• The data• Basic metrics• Latest work (“NxJ Labs”)

Tom Fuller| November 9, 2018

FEEDBACK DATA

Finding the “Signal in Noise”

Feedback data: we can measure what was not measurable before: the amount of feedback someone is getting

But there is a lot of noise. What feedback is good & valuable and what is not?

What are the “feedback patterns” of high vs low performing (individuals & teams)?

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3

4 SEGMENTS

Hiding Flat Learning

Not SEEKINGFeedback

Stuck inComfort Zone

Heartbeat

Feedback Giving Feedback Receiving

Silent

Not GIVINGFeedback

“organizational silence”

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#1 Insight: Lowest performing teams are lead by LEADERS who are HIDINGGetting a lot of feedback doesn’t guarantee performance, but NOT getting feedback (almost) guarantee’s failure

... and those teams tend to NOT GIVE feedback

INSIGHT #1

Modeling

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INSIGHT #2

#2 Insight: Individuals (and teams) that “invest in loss” are correlated with HIGH PERFORMANCE

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FLAT LOW FLAT HIGH

IS NOT | Examples of individuals NOT learning

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5

61

41

15

21

104

70

54

25

156

266

134

1:4 5è 1:4 3è 1:4 3è

IS | Examples of individuals learning

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BASIC METRICS(PARTICIPATION + EXPECTATION)

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PARTICIPATION – are people speaking up? Nothing is more hostile then walking into a room

and everyone is afraid to speak up

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EXPECTATION SCORE – team mindsetFixed Mindset no room for improvement

vsGrowth Mindset ways to get better

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HOW IT FAILS: Organizational Silence is the Root Cause

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PARTICIPATION

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EXPECTATION

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EXPECTATION

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Basic Analytics NxJ

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NxJ LABS(COMING SOON)

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Semantic Analysis INSIGHT: analysis of the feedback we GIVE is “diagnostic” of biases/blind-spots