VelocinatorVelocinator
Productivity6 min read

The Silent Killer of Velocity: Unreviewed PRs and Context Switching

January 18, 2026
The Silent Killer of Velocity: Unreviewed PRs and Context Switching — Productivity article on engineering productivity

There's a category of work that doesn't appear on any dashboard but dominates engineering productivity: the unreviewed PR.

It's been open for three days. The author has moved on to other work. The reviewer hasn't gotten to it. It just... sits there.

This seems like a minor inefficiency. It's actually a major velocity killer—and the damage extends far beyond the delayed PR itself.

The True Cost of Waiting PRs

Direct Cost: Delayed Delivery

The obvious impact. If a PR waits 3 days for review, the feature arrives 3 days late. Multiply by every PR in the queue.

But this is the smallest cost.

Indirect Cost: Context Loss

When the author moves on, they lose context on their own PR. Three days later, when review comments arrive, they have to re-load the work into their head:

  • "What was I trying to do here?"
  • "Why did I make that decision?"
  • "What was the state of the codebase?"

Research suggests context reload takes 15-30 minutes for complex work. Every time.

Indirect Cost: Review Quality

Reviewers reviewing stale PRs are also missing context:

  • The codebase may have changed
  • Related discussions may have happened in other channels
  • The reviewer may not remember the requirements discussion

Stale reviews are worse reviews.

Indirect Cost: Merge Conflicts

The longer a PR sits, the more likely it is to conflict with other work. Resolving conflicts takes time and introduces risk.

A PR that would have merged cleanly on Monday might require significant rework by Friday.

Indirect Cost: Cascading Delays

Other work may depend on the waiting PR:

  • Another developer needs the API it introduces
  • A feature can't ship until the underlying change lands
  • Technical decisions are blocked waiting for this approach to be validated

One stalled PR can block multiple people.

Detecting the Problem

Velocinator surfaces unreviewed PRs automatically:

The "Aging PRs" View

PRs sorted by how long they've been waiting for review:

  • Green: < 4 hours (healthy)
  • Yellow: 4-24 hours (getting stale)
  • Red: > 24 hours (blocking velocity)

This simple view often reveals surprising backlogs.

Review Pickup Time Metric

Track the median time from "PR opened" to "first review comment":

  • Elite: < 4 hours
  • Good: 4-12 hours
  • Needs improvement: 12-24 hours
  • Critical: > 24 hours

If your pickup time is high, you have a systemic problem.

Per-Reviewer Analytics

Some reviewers consistently pick up PRs quickly. Others consistently let them sit.

This isn't about blame—it's about understanding. Maybe the slow reviewer is:

  • Overloaded with review requests
  • Not seeing notifications
  • Deprioritizing reviews in favor of their own work
  • Unclear that review speed matters

The data enables the conversation.

The Goalkeeper Pattern

Many high-performing teams use a "goalkeeper" or "on-call shield" to protect focus:

How It Works

  • One team member per sprint is designated as the goalkeeper
  • They handle all interruptions: support questions, bug triage, urgent reviews
  • Everyone else gets protected maker time
  • The role rotates so no one burns out

Why It Works

  • Most interruptions don't require the specific person being interrupted—anyone on the team could handle them
  • Concentrating interruptions on one person means one person has a bad week (fragmented), but everyone else has a great week (focused)
  • The goalkeeper can batch work: handle all reviews in morning and afternoon blocks, not randomly throughout the day

Measuring Impact

Teams implementing the goalkeeper pattern typically see:

  • 40-60% reduction in review pickup time
  • Increased focus for non-goalkeeper team members
  • No increase in overall review time (just better distributed)

Review Time Agreements

If the goalkeeper pattern doesn't fit your team, try explicit SLAs:

The 4-Hour SLA

"All PRs receive first review within 4 business hours."

This is achievable if:

  • PRs are reasonably sized (< 400 lines)
  • Reviewers check for review requests at natural break points
  • The team is appropriately sized for the work volume

Making It Visible

Post the current review queue where everyone can see it:

  • Slack channel with daily "PRs waiting" summary
  • Dashboard showing queue depth
  • Standup check: "Any PRs blocked on review?"

When delays are visible, people address them.

Escalation Path

If a PR has been waiting 24+ hours:

  • Author pings reviewer directly
  • If no response in 4 hours, escalate to team lead
  • Team lead either reviews or reassigns

Clear escalation prevents PRs from languishing indefinitely.

Reducing Review Burden

Sometimes PRs wait because reviewers are overwhelmed. Reduce the load:

Smaller PRs

The #1 lever. A 100-line PR takes 10 minutes to review. A 1000-line PR takes hours (or gets skimmed).

Set team norms: PRs over 400 lines require justification.

Clear PR Descriptions

Help reviewers understand quickly:

  • What does this change?
  • Why is this approach used?
  • What should reviewers focus on?

Good descriptions cut review time in half.

Automated Checks

Every check that can be automated is a check humans don't have to do:

  • Linters for style
  • Type checking
  • Unit tests
  • Security scanning

If CI is green, reviewers can focus on logic and design, not formatting.

Review Rotation

Instead of "whoever knows this code" reviewing, establish rotation:

  • Everyone on the team is capable of reviewing everything
  • This spreads knowledge and load
  • Prevents bottlenecks when specific people are busy

The Metrics Loop

Track and improve continuously:

Weekly Check

  • How many PRs are currently waiting > 24 hours?
  • What was median pickup time this week?
  • Which reviewers are below/above target?

Monthly Trend

  • Is pickup time improving or degrading?
  • Are certain times of week/month worse? (Sprint ends, releases)
  • What's the correlation between review wait time and cycle time?

Quarterly Review

  • Are our SLAs appropriate?
  • Do we need to adjust team capacity?
  • Should we implement new patterns (goalkeeper, review blocks)?

The Cultural Shift

Reducing unreviewed PR wait time requires a cultural shift:

Old mindset: "My job is to write code. Reviews are a favor to teammates."

New mindset: "Unblocking teammates is as important as my own work. A teammate waiting on my review is blocked—that's my problem too."

When everyone on the team internalizes that reviews are work (not interruptions), pickup time drops dramatically.

Your PR queue is a leading indicator of velocity. An empty queue—PRs reviewed promptly and merged quickly—is a team operating at full speed. A growing queue is velocity slowly strangling.

Check your queue. What's it telling you?

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