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Works well with any current-generation model (Claude Sonnet/Opus, GPT-6 Sol/Astra, Gemini 3) — the task is structured rewriting and gap-flagging, not deep reasoning, so a mid-tier model is sufficient.It's the week before performance review season, and you have a scrappy list of six months of Slack standups and sprint notes but no idea how to turn “helped ship the new onboarding flow” into something that reads well in a formal review.

Le Générateur d'Auto-évaluation : Transformez des Notes de Réalisations Brutes en Points d'Évaluation de Performance Polis

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Le Générateur d'Auto-évaluation : Transformez des Notes de Réalisations Brutes en Points d'Évaluation de Performance Polis

Pourquoi ce prompt est important

Self-reviews that use vague, passive language (assisted with, was involved in, helped) get rated lower by managers even when the underlying work was significant — reviewers pattern-match specific, quantified language to impact and vague language to a passive contributor, regardless of what actually happened. A weak self-review doesn't just risk a lower rating; it becomes the written record a manager cites months later during promotion or layoff conversations, when nobody remembers the actual work — only what's on paper.

À quoi nous l'utilisons

It's the week before performance review season, and you have a scrappy list of six months of Slack standups and sprint notes but no idea how to turn “helped ship the new onboarding flow” into something that reads well in a formal review.

Prompt

Act as a performance review coach who specializes in the XYZ formula (Accomplished [X] as measured by [Y] by doing [Z]) for turning vague work notes into polished, quantified self-review bullets.

Context: My role is [YOUR JOB TITLE]. The review period is [REVIEW PERIOD, e.g., "H2 2026"]. Here are my rough, unpolished notes on what I did, in whatever form I have them (Slack standups, sprint notes, a messy list): [PASTE YOUR ROUGH NOTES HERE].

Task: For each rough note, produce two candidate bullets: (1) a "Conservative" version using only facts and numbers actually stated in my notes, and (2) a "Stretch" version showing what the bullet could become if I can supply one specific missing metric. Group the resulting bullets into three categories if the notes support it: Impact, Ownership, and Collaboration.

Constraints:
- Never invent a number, percentage, or outcome that isn't in my notes. If a bullet would benefit from a metric I haven't provided, write "MISSING METRIC: [specific question to answer]" instead of guessing.
- Ban passive or vague verbs: helped, worked on, was involved in, assisted with, participated in. Require active ownership verbs: led, built, reduced, drove, designed, shipped, resolved.
- Each bullet must be one line — if it needs two lines, it's actually two accomplishments and should be split.
- Do not pad weak notes with unearned adjectives (Blizzard, seamless, robust) to compensate for a missing metric — flag the gap instead of disguising it.

Output Format: For each original note, show: the raw note as I wrote it, then the Conservative bullet, then the Stretch bullet (or a MISSING METRIC flag if no stretch is honestly possible), grouped under Impact / Ownership / Collaboration headers.

Résultat

Role: Senior Software Engineer. Review period: H2 2026.

Impact

Raw note: "fixed a bunch of bugs in the checkout flow, customers were complaining"

  • Conservative: Resolved recurring checkout-flow defects that were generating customer complaints, stabilizing the purchase path.
  • Stretch: MISSING METRIC — ask support/product for the actual complaint-ticket count before and after your fixes, or the checkout error rate from monitoring. A bullet like "Reduced checkout errors by 41%, cutting related support tickets from 60/week to 12/week" is far stronger than "fixed a bunch of bugs" — go find that number before you write your review.

Ownership

Raw note: "helped with the migration to the new database"

  • Conservative: MISSING METRIC — "helped with" is too vague to convert into any credible bullet, even a conservative one. Before this can become a review bullet, answer: what specifically did you own in this migration (a service, a data model, the rollback plan)? "Helped" reviewers cannot tell if you did 5% or 50% of the work.
  • Stretch: Once you have that answer — for example, if you owned the write-path migration for the orders service — try: "Led the orders-service write-path migration to the new database, completing it with zero downtime across 3 weeks of phased rollout."

Collaboration

Raw note: "mentored the new hire, they're doing well now"

  • Conservative: Mentored a new team member through onboarding, supporting their ramp to independent contribution.
  • Stretch: MISSING METRIC — "doing well" needs a concrete marker. Did they ship their first PR in week 2 instead of the usual week 4? Did they pass their 90-day review with a specific rating? Try: "Mentored a new hire through onboarding; they shipped their first production PR in week 2, versus the team's typical 4-week ramp."

What this reveals: two of your three raw notes are currently unreviewable as written — not because the work wasn't valuable, but because the notes don't contain a number. That's exactly the gap to close before review season, not during it.

La plupart des auto-évaluations échouent pour une raison précise et corrigible : elles décrivent une activité plutôt qu'un impact. « Aidé avec la migration » et « corrigé un tas de bugs » sont toutes deux des affirmations vraies sur du travail réel, mais aucune ne survit face à un évaluateur formé à repérer la formule XYZ — accompli X, mesuré par Y, en faisant Z.

Ce prompt est conçu pour séparer deux problèmes différents qui se confondent lorsqu'on essaie d'écrire une auto-évaluation en une seule fois : transformer une phrase vague en une phrase bien structurée, et trouver une métrique manquante. Un point « Conservateur » utilise uniquement ce que vous savez déjà. Un point « Ambitieux » montre à quoi ressemble la même réalisation avec une métrique spécifique attachée.

L'interdiction explicite des chiffres inventés est la contrainte la plus importante du prompt. Signaler « MÉTRIQUE MANQUANTE » à la place force le résultat réellement utile : une question spécifique et à laquelle on peut répondre.

La structure en trois catégories — Impact, Appropriation, Collaboration — existe parce que les évaluateurs recherchent des signaux différents dans chacune. Trier vos notes brutes dans ces catégories avant de les peaufiner révèle des lacunes dans l'histoire que vous racontez sur vos six derniers mois.

prompt-engineeringCareerperformance-reviewxyz-formulaself-assessment
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Le Générateur d'Auto-évaluation : Transformez des Notes de Réalisations Brutes en Points d'Évaluation de Performance Polis | AIO APEX