How to Write Better Performance Reviews
Paceflow
Mar 31, 2026
3 min read
Learn how to write effective performance reviews using evidence, clear standards, and structured feedback instead of vague praise.
Review season shouldn'tstart with a blank page
Paceflow keeps delivery data, peer feedback, and 1:1 history together all year. When it's time to write reviews, the evidence is already there.
Free for teams up to 7. Connect Jira or GitHub and see your team in about five minutes.
Used by engineering teams at
Two minutes on how it works
You got promoted because you were good at the technical part
Nobody handed you a system. You inherited standups, a review cycle, eight people's careers, and a spreadsheet you made yourself in the second week.
So the work happens, but the record of it doesn't. The context lives in the sprint board, the PR queue, a Slack thread from March, your notes app, and your memory. Come review season you reconstruct it, badly, under time pressure, and end up writing something that reflects the last six weeks because that's what you can remember.
Reviews you can actually back up
Specific, dated examples instead of impressions. When you tell someone they're ready for the next level, you can show why. When you tell someone they aren't, the conversation holds.
1:1s that start somewhere
Walk in already knowing what shipped since you last met and what you promised at the end of it. The half hour goes to the person instead of the status update.
Growth paths that survive Q3
Level expectations written down once, so "what does senior mean here" has the same answer in January and in September, and so does your answer to the person asking.
One record for the conversations managers actually have
DELIVERY DATA
Delivery Metrics
Read delivery signals from Jira, Linear, ClickUp, GitHub, and Bitbucket without asking anyone to update another spreadsheet.
FEEDBACK LOOP
Peer Feedback
Collect useful feedback through Slack while the work is still recent, not during the last week of review season.
REVIEW HISTORY
Performance Reviews
Keep dated examples, 1:1 notes, feedback, and level expectations in one place all year.
AI ENGINEERING METRICS
Measure What AI Does for Your Team
Connect AI assistant activity to shipped code, merge outcomes, and cost data. Paceflow gives engineering leaders the numbers behind AI adoption - not opinions, not surveys, not vanity metrics.
Connected sources
- →Jira
- →Linear
- →ClickUp
- →GitHub
- →Bitbucket
- →Slack
IntegrationsConnects to what your
Connects to what your
team already uses
Paceflow reads delivery signals from your issue tracker and your code host, and collects feedback through Slack. Connect one source to get started. Add the rest whenever.
Issue tracking
Jira, Linear, ClickUp
Code
GitHub, Bitbucket
Feedback
Slack
Built so your team doesn't resent it
Every engineer gets their own account and sees their own delivery data, trends, and history in full. Not a summary you passed along. The same numbers you're looking at.
Paceflow gives you evidence for better management conversations. The judgment stays with the people having them.
1
No score, no rank, no leaderboard
2
No comparison of one engineer against another
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Nothing tracked about someone's work that they can't open themselves
New · open source
Is AI coding actually working on your team?
paceflow is a free CLI your engineers run on their own machines. It reads their local Claude Code, Codex, Cursor, and OpenCode history alongside git, then shows whether AI-assisted work reached mainline and whether it held up. Local-first, MIT licensed, no account required.
Engineers install it because it answers a question they have about their own work. Teams can connect those metrics to Paceflow when they're ready to review AI outcomes together.
$ cargo binstall paceflow
$ paceflow ingest
$ paceflow quality
REPORT STATUS
delivery good
quality watch
cost goodYou'll see your team before your coffee gets cold
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Sign up and connect Jira, Linear, ClickUp, GitHub, or Bitbucket
2
Paceflow pulls the last few months of delivery history automatically
3
Your team appears, populated, with no data entry from you
No implementation project, no admin rollout, nobody has to change how they work.
Pricing
Free for small teams, no time limit. You start paying when you outgrow it.
$0
Free
For teams up to 7 contributors
- Jira, Linear, and ClickUp metrics
- GitHub and Bitbucket metrics
- Slack feedback collection
- 1:1 notes and history
- Developer profiles
- No time limit, no card
$15 to $50per contributor / month
Premium
For growing teams
- Everything in Free
- Unlimited contributors
- AI-based weekly team summaries
- Management reports
Talk to us
Enterprise
Multiple teams, multiple managers
- Everything in Premium
- SSO
- Granular permissions across team leads
- Automated performance notifications
Written for people who got promoted last year
Concrete guides for performance reviews, hard feedback, 1:1s, and the management work nobody taught you before the title changed.
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Paceflow
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12 min read
Learn how to run effective 1:1 meetings with engineering managers to improve alignment, feedback, career growth, and team performance.
Managing a Brilliant Jerk on Your Team
Paceflow
Jan 13, 2026
4 min read
Learn how to handle a brilliant but difficult engineer by giving clear feedback, setting collaboration standards, and improving team performance.
Your next review cycle is already closer than you think
Connect one tool today and by the time reviews come around, the record writes itself.
Start freeFree for teams up to 7. No card.