Dashboards, Scorecards, and the Hidden Psychology Behind Manual Data Entry | Lazy Leverage #90

49 snips

Jan 6, 2026

The conversation dives into why elite operators in M&A thrive by elegantly modeling deals while billionaires often avoid risks. Manual data entry is championed for fostering accountability over automation. A crucial distinction is made between scorecards that track controllable activities and dashboards for lagging indicators. The hosts debate whether to judge people based on outcomes or processes, stressing that each metric should have a single owner. They share cautionary tales of perverse incentives and emphasize practical best practices for effective scorecard management.

Ask episode

AI Snips

Chapters

Books

Transcript

Episode notes

ADVICE

Manually Report Scorecard Numbers

Manually pull and enter weekly scorecard numbers instead of automating them.
The act of reporting creates psychological accountability and forces ownership of the metric.

INSIGHT

Scorecards vs. Dashboards

Separate scorecards (controllable weekly activities) from dashboards (lagging metrics like revenue).
Scorecards let you assign ownership for actions you can influence week-to-week.

ADVICE

Manually Color-Code Status

Make people manually set the traffic-light status (green/yellow/red) rather than auto-highlighting.
Green means on target, yellow means off but have a plan, red means off with no plan.

Get the Snipd Podcast app to discover more snips from this episode

Get the app

The best operators in M&A make hundreds of millions because they "model deals elegantly," but billionaires "can barely do the math. They just only do deals where they can't lose."

At least that’s what Jon and Peter believe. It's Warren Buffett's philosophy in action; that price is your due diligence.

Metrics should be entered manually, not automated. The psychological weight of pulling numbers and inputting them weekly creates accountability that automated dashboards never achieve. It's the difference between ownership and passive observation.

They distinguish between dashboards (lagging indicators like revenue) and scorecards (controllable activities like reviews requested). This separation, learned from their EOS coach Chris Kaplan, prevents teams from chasing metrics they can't influence week-to-week.

Next we’re asking, “Should you judge people on outcomes or process?” Saban (echoing Bill Walsh) says focus on the controllables. That is, the score takes care of itself. But Jon admits he's "constantly ripped in half" between mandating process and demanding results. Peter suggests it depends on performance level: high performers get freedom, struggling performers get prescription.

They tackle paired metrics as protection against perverse incentives, using India's snake-bounty program as a cautionary tale. When the government paid for dead snakes, people started breeding them. Similarly, optimizing turn time without pairing it with customer satisfaction leads to cutting corners.

Finally, Jon and Peter riff on Saul Alinsky's "Rules for Radicals", particularly when he says that, when pressure increases, people try to diffuse responsibility.

As a manager, your job is keeping accountability focused: "You are responsible for everything that does and doesn't happen to make this number improve."

Key Topics:
(07:47) Why Automation Kills Accountability
(10:20) Building Your First Scorecard: Start Imperfect and Iterate
(12:41) Dashboard vs. Scorecard: Lagging Indicators vs. Controllable Activities
(19:57) Control the Controllables, Not the Score
(37:27) How Incentives Create Perverse Outcomes
(41:14) Why DLER Must Be Balanced with Customer Satisfaction
(45:38) Change the Metric, the Goal, or the Person
(48:56) High Care, High Standards.