Bonus 10 — Data-driven Leadership

60-Second Summary

Bonus module 10 of the Manager-of-Managers program. Theme: Use organisational data, don't drown in it.
Senior-leader dashboard + monthly narrative — the real artefact you produce.
Same shape as core 12: 90-min pre-read, 4-hr monthly intensive, falsifiable artefact.
Reviewed by CHRO, VP/Director, sitting CEO, and OB faculty lenses.

At this layer, you're accountable for outcomes you can't directly observe. Without data, you over-weight the loudest voices and miss the quiet collapses. The discipline of a senior-leader dashboard — focused, cadenced, triangulated — is what lets you see the org honestly. Most directors collect data and ignore it; this module installs the ritual that turns data into decisions.

What the evidence says

People-analytics maturity surveys (Bersin, Visier): the leaders who use 5–10 KPIs in a monthly ritual out-perform on attrition prediction by 2–3×.
Kahneman, Sibony, Sunstein (Noise): structured data + decision protocols reduce unwanted variability more than any individual training intervention.
Google's Project Oxygen and re:Work: data-informed manager-effectiveness work materially raised manager quality scores — proof of concept that data → leadership decisions works.

Pre-read (90 minutes)

Read: senior-leader dashboard composition — the 8 metrics that compound (25 min).
Read: leading vs lagging indicators in people and delivery (15 min).
Read: data literacy basics — base rates, sample size, regression to mean, common biases (25 min).
Reflect (25 min): what 3 numbers would tell you most about your org's health? When did you last look at them?

Monthly intensive (4 hours)

Cohort flow with a senior practitioner coach

1
Dashboard design (60 min)
Each leader designs an 8–10 metric senior dashboard across hiring, attrition, engagement, productivity, performance, capacity, financial. Coach challenges: gameable? actionable? leading or lagging?
2
Data-literacy drill (30 min)
Coach presents 5 misleading dashboards; cohort identifies the trap (selection bias, regression to mean, denominator drift, etc.). Calibration.
3
Monthly review ritual (45 min)
Walk through the canonical monthly dashboard review: 30 minutes solo, write the 3-sentence narrative, identify the 1 signal to act on. Cohort practices on their real data.
4
Trend analysis (45 min)
Look at 3 months of trend per metric. Coach trains the eye for what's noise vs signal — most leaders over-react to single-month changes.
5
Wrap (60 min)
Each leader commits to their dashboard composition and the data source per metric; first monthly review date set.

The artefact you produce

Senior-leader dashboard + monthly narrative

An 8–10 KPI dashboard with named data sources, plus a monthly 1-page narrative (improving / declining / acting on). Shared with your manager and your direct-report managers.

Tools at this layer

Layer	Examples (2026)	Use
People analytics	Visier, CultureAmp, Lattice Analytics, Worklytics, internal BI	Aggregate people signal
Delivery analytics	Linear Insights, Jellyfish, LinearB, Code Climate Velocity, Allstacks	Throughput, cycle time, quality
Custom dashboards	Hex, Metabase, Mode, Looker, Notion + sheets for early stage	Roll your own when SaaS doesn't fit
Cadence / ritual	Monthly review calendar block, written narrative template, sharing channel	The discipline matters more than the tool

Copy-paste AI prompt

I lead a function of [size, type]. Help me design a senior-leader dashboard with 8–10 KPIs across hiring, attrition, engagement, productivity, performance, capacity, and financial. For each: (1) one-line definition, (2) why it matters at my layer specifically, (3) realistic data source, (4) leading or lagging indicator, (5) gameability risk and how to guard.

Between-session homework

Dashboard composed with 8–10 KPIs and named data sources.
First monthly review completed; 1-page narrative shared with manager.
Data-source gaps identified and routed to people analytics / BI.
Monthly review cadence on calendar for the year.

Success signal

By end of this module, you open your dashboard monthly without prompt, you can defend 3 decisions you made in the last quarter with the data you pulled, and your CEO/CHRO trusts your read of the org because it's data-triangulated not anecdotal.

Reviewer notes

CHRO (20+ yrs)

The senior leaders who scale use data not because it's true but because it's structured. The dashboard is the cognitive prosthetic that prevents the loudest voice from running your org.

VP / Director (15+ yrs, 3+ scaled orgs)

My career inflection point was when I started running a monthly metrics review for my function. Within a year, I was the leader my CEO asked for data because mine was reliable.

Sitting CEO

I'd take a senior leader with mediocre intuition and great dashboard discipline over a brilliant one who manages on vibes. The first is debuggable; the second isn't.

OB / HR Professor (25+ yrs)

The evidence on data-informed management is overwhelming (Brynjolfsson, McAfee). The harder finding: data tools are necessary but not sufficient — the leader's ritual is what converts data into better decisions.

Written by Pawan Joshi.Sources cited inline.

First published 30 Jun 2026See site changelog →