Navigara · Product·Alignment

Align engineering work to
business outcomes.

Alignment measures, in performance, how much each team contributed to each priority. Week by week, repo by repo. The honest answer to “are we on track.”

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Insights / Alignment / AI copilot

AI copilot

5 teams contributing · started Jan 14, 2026 · 12 weeks of signal.

Org performance share
28%
Top contributor: Search at 8.7%
vs Q4’25 baseline
+6pp
Identity climbing fastest, +8pp this quarter
Aligned PRs
87%
tracked against a named priority · Q1’26 to date
Performance share by team
Stacked weekly contribution to AI copilot · click any layer to drill in.
Performance share by team — AI copilot10%20%30%40%JanFebMarApr
TeamAvg shareΔ first → last
Search8.6%+2.8pp
Identity5.5%+6.5pp
Payments6%+1pp
Infra4.8%-4.5pp
Mobile2.2%0pp
01The pipeline

From commits to priorities. No self-reports in between.

Read every commit. Classify intent. Tag the priority it actually moved. Cross-check the issue tracker. The signal you walk into the boardroom with is the signal that came out of the repo.

Your code never leaves your servers. We measure outcomes, not activity.

02Top-down · Priorities view

Every team. Every priority. Every week.

The CEO names the priorities. Navigara measures who’s pulling weight.

Pick a priority. See how much of each team’s performance went to it this quarter, broken down by week. Drift is visible. Trade-offs are visible. The team you thought was on the AI copilot but actually spent six weeks on infra cleanup is visible.

Every signal is derived from what shipped. Not what was claimed in standup.

  • Performance share against each priority, by team
  • Weekly granularity, quarter over quarter
  • Drill into any cell to see the underlying PRs
  • Compare against last quarter or against the team's own forecast
alignment / prioritiesQ1 2026
PriorityAI copilotOnboarding speedReliabilityCost
W1W2W3W4W5W6W7W8W9W10W11W12TotalΔ Q4Search41%+2ppIdentity33%+12ppPayments28%+6ppInfra18%-3ppMobile14%-8pp
Share of weekly performancelow → high
Derived from shipped PRs · not standup claims
03Bottom-up · Feature view

Pick a feature. See where its performance went.

Features have shapes. The shape is hidden by default.

Growth, maintenance, or fixes. Most leaders have never seen this breakdown. They know features cost time. They have not seen what kind of time.

Drag the slider through history. Watch the shape change quarter over quarter. The first time you do this, you will see something you suspected and could not prove.

  • Growth, maintenance, fixes per feature
  • Retroactive across the feature's full history
  • Compare features against each other and against the org average
  • Surface features quietly bleeding the team
alignment / featuresAI copilot
Q1 2026 to dateWhere the performance went
12 weeks · 4 teams
62%
28%
10%
  • Growthnew capabilities, surfaces, integrations62%+8pp
  • Maintenancerefactors, dependency upgrades, infra28%-5pp
  • Fixesbugs, regressions, edge cases10%-3pp

vs. Q4 2025 baseline · click any row to see contributing PRs

alignment / retro8 quarters
AI copilotdrag through history
Q2'24
Q3'24
Q4'24
Q1'25
Q2'25
Q3'25
Q4'25
Q1'26
Q2 2025
Growth28%Maintenance55%Fixes17%
04What this changes

Monday morning. Things you can do that you couldn’t on Friday.

  • Walk into the board with the share each priority got. The actual share, not the narrative
  • Tell the CEO the AI copilot got 11% of org performance and you need 25%. Defensibly
  • Catch a team drifting into maintenance two weeks in. Not two months in
  • Run a quarterly retro on numbers, not vibes
Get started

Run alignment
on your data.

Connect your repos. Name your priorities. We measure who shipped what against them, week by week.

If the numbers surprise you, we should talk.

Start for free