Post on 28-May-2020
transcript
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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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
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25
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266
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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