How can a manager start using the Typo Dashboard?

Daily Engineering Health Checklist (for managers)

Goal: Spot early signals, understand where pain concentrates, and intervene before problems compound

1. Start with the baseline

Before reacting to anything, ask:

• What has been normal for this team in the last 4–8 weeks?

• Is today’s movement noise or a real shift?

2. Always compare the middle to the tail

Never read averages alone.

• Average ≈ P75 Flow is consistent. Problems are systemic or mild.

• Average << P90 Pain lives in the tail. A small set of PRs or issues is dragging the system.

• P75 is creeping up week over week The whole system is degrading, not just edge cases.

Rule of thumb: Most engineering problems start in the tail before they show up in averages.

3. Cycle Time: ask where the tail begins

When cycle time looks bad:

• Check where P75 and P90 diverge.

• Then break the cycle time into stages.

Interpretation:

• Coding Time Long tail → complex or unclear work causing rework or stalled implementation.

• Pickup Time Long tail → work waiting for prioritization or clear ownership.

• Review Time Long tail → reviewer bottlenecks, large PRs, or uneven review load.

• Merge Time Long tail → release process friction, flaky checks, or coordination delays.

Don’t treat cycle time as one problem.

4. PR Size + Review Time must be read together

Individually, they mislead.

• Large PRs + long review tail Reviews are shallow, slow, or avoided.

• Small PRs + long review tail Review capacity or process issue.

• Large PRs + normal review time The team may be compensating. Watch CFR next.

This pairing usually explains 60–70% of delivery drag.

5. Look for concentration, not spread

Every day, ask:

• Are delays spread evenly or concentrated in:

• specific repos

• specific teams

• specific reviewers

• specific weeks

See the “Risks” for each team to identify the concentration of issues

Concentration means a lever exists. Spread usually means structural issues.

6. Incidents and delivery must be time-aligned

When incidents rise:

• Look backward, not just at the incident page.

• What changed 5–14 days earlier?

  • PR size?

  • Review depth?

  • Scope churn?

  • AI-generated code volume?

7. Use contributor metrics to spot system stress, not performance

Daily question:

• Who is the system leaning on the hardest right now?

Signals to watch:

• Review load concentration

• Workload distribution

• Review time tail

• Sudden drop in coding days

Interpretation:

• High load ≠ underperformance

• It usually means a hidden dependency or a knowledge silo

8. AI coding metrics only matter with downstream effects

Don’t stop at adoption or acceptance.

Always check:

• Are AI-assisted PRs larger?

• Do they take longer to review?

• Does CFR rise after high AI usage weeks?

9. Allocation drift

If delivery feels slow:

• Check bug vs feature vs task mix.

• Watch for week-over-week drift, not absolute numbers.

Interpretation:

• Rising bug share

• High task share

10. End every review with one decision

If you can’t answer this, you’re still dashboarding:

• What is the one thing I’ll change or watch more closely this week?

Good examples:

• Cap PR size for 2 teams

• Redistribute reviews

• Pause the new scope for a sprint

• Fix a single release bottleneck

Use Goals in Typo to set up alerts for best practices and metric benchmarks in the team.

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