Evidence, not a memory test.
Keep dated examples of wins, misses, and growth so review season doesn’t start with a blank page.
BETTER REVIEWS START WITH BETTER EVIDENCE
The AI Performance
Review Playbook.
Fair, specific reviews. Half the time.
Still unmistakably you.
A 15-minute weekly evidence habit. One focused review-season weekend. A practical system to turn real proof into thoughtful reviews—with AI as a drafting aid, not the decision-maker.
$39 USD · one-time purchase
See what’s inside FOR MANAGERS WITH 5–12 DIRECT REPORTS
Especially tech & engineering managers.
Especially tech & engineering managers.
LESS SCRAMBLE. MORE SUBSTANCE.
10 practical chapters4 companion resources
Grounded in real examples Human judgment, always Privacy-conscious workflow Works with or without AI
THE REVIEW-SEASON PROBLEM
Your team deserves more
than “a great year.”
Scattered notes. A year reconstructed from memory. Vague praise that could describe anyone. An AI draft your team can spot a mile away.
The answer isn’t a better shortcut. It’s a better system—one that starts long before the review is due.
01Capture evidence
02Find the themes
03Draft from proof
04Edit & check fairness
05Have the conversation
A CALMER WAY TO REVIEW
Less reconstruction.
More meaningful feedback.
A repeatable process from the first note to the final conversation.
A year of notes. Three themes.
Bring self, peer, and manager input together, then organize the evidence into three clear themes per person.
A first draft with real proof.
Give AI evidence to work from, when your employer permits it. Keep the assessment and decisions in your hands.
Your words. Not robot-speak.
Replace vague praise and generic phrasing with specific feedback that sounds like you.
A deliberate fairness check.
Look for recency, halo/horns, and coded-language bias before you submit the review.
A conversation, not a verdict.
Prepare for reactions, share the proof, and leave with clear goals and a plan to follow up.
WHAT’S INSIDE
One playbook.
The whole process.
Ten focused chapters. A practical path from weekly evidence to a conversation that builds trust.
10 CHAPTERS · NO FILLER- 01
Why AI Reviews Sound Fake (and How Your Team Can Tell)
- 02
The 15-Minute Weekly Evidence Log
- 03
What to Write Down: Wins, Misses, and Proof
- 04
Keep Private Data Out of Public AI Tools
- 05
Get Self, Peer, and Manager Input Without the Chaos
- 06
Turn a Year of Notes Into 3 Clear Themes
- 07
Prompt AI for a First Draft That Uses Your Proof
- 08
Edit Out the Robot: Make It Sound Like You
- 09
Check for Fairness Before You Hit Submit
- 10
Deliver the Review in a Talk That Builds Trust
INCLUDED WITH THE EBOOK
Put the system to work.
Four companion materials to support the process—not more busywork.
01
Weekly Evidence Log
Google Sheets and Notion templates, with one tab per direct report.
INCLUDED
02
AI Data Safety Checklist
A one-page red, yellow, and green guide for handling information.
INCLUDED
03
Draft-to-Done Prompt Pack
12 prompts, organized in the order you use them.
INCLUDED
04
Robot-Tone Edit Checklist
40 AI giveaway words, with plain-language swaps.
INCLUDED
A LOOK AT THE APPROACH
Small habits.
Better raw material.
A few concepts from the playbook, made tangible.
Illustrative examples, not exact book pages.THE WEEKLY EVIDENCE LOG01 / 03
A useful note beats a perfect memory.
DATE
October 9
TAG
Collaboration
WHAT HAPPENED
Helped a teammate unblock a release by tracing a failing test and documenting the fix.
PROOF LINK
Pull request / release notes
Date. What happened. Proof link. Tag. Repeat weekly.
WHO IT’S FOR
For managers who
want to get it right.
You care about giving useful feedback. You also have a team to lead and a calendar that’s already full.
You manage roughly 5–12 direct reports.
You lead a tech or engineering team—or face the same review challenges.
You want specific feedback without rebuilding the year from memory.
You’re open to a better process, with or without AI.
REVIEW SEASON ALREADY CLOSE?
Work with the notes you have now. Start the weekly log for next cycle. A partial record won’t replace a full year of evidence—but you can begin a better process today.
MAKE YOUR NEXT REVIEW MORE SPECIFIC
The AI Performance
Review Playbook.
A Proven System for Writing Fair, Specific, Evidence-Based Reviews in Half the Time
The complete 10-chapter ebook All four companion materials A workflow you can use with or without AI
$39USD · one-time purchase
Look first
Secure checkout via Razorpay · instant download
A FEW GOOD QUESTIONS
Before you begin.
Who is this playbook for?
Managers with roughly 5–12 direct reports, particularly tech and engineering managers, who want specific, evidence-based reviews rather than generic feedback.
What’s included?
The ten-chapter ebook, Weekly Evidence Log templates in Google Sheets and Notion, a one-page AI Data Safety checklist, a 12-prompt Draft-to-Done Prompt Pack, and a Robot-Tone Edit Checklist with 40 giveaway words and plain-language swaps.
What if review season is already close?
Start with the notes and evidence you have now, and use the guided workflow to organize them. Then begin the weekly log for your next cycle. Working with limited notes is not the same as having a full year of evidence.
Can I use it if my company restricts AI?
Yes. The evidence, themes, editing, fairness checks, and conversation workflow can be used without AI. Always follow your employer’s AI and data policies and keep sensitive or identifying information out of public AI tools.
Does the playbook write or decide reviews for me?
No. AI is an optional drafting aid. You supply the evidence, make the judgments, edit in your own voice, and review the final feedback. This playbook is not HR, legal, privacy, or compliance advice.
How will I receive the ebook and companion materials?
Right after payment you get instant download buttons plus a private link you can save to download again later.
What does the playbook cost?
The ebook and four listed companion materials are $39 USD, a one-time payment processed securely by Razorpay.