Most feedback fails at the drafting stage: vague ("be more proactive"), judgment-laden ("sloppy"), or example-free. This playbook feeds your observed facts into an SBI structuring pass that returns three tone variants and flags every phrase a defensive listener could dispute — while enforcing the one rule that matters: AI structures, never invents.
Workflow area: Leadership Ops · Tier: Foundation · Hands-on time: ~20 minutes
Feedback is a factual claim wrapped in a relationship. The factual part — situation, behavior, impact — is where AI genuinely helps: it separates observation from judgment, catches the adjectives that will start an argument, and lets you hear the same message at three temperatures before you pick one. The relationship part it cannot touch. And the catastrophic failure mode is specific: a model asked to "write feedback about X" will happily invent plausible examples that never happened. You supply every fact; the model supplies only structure.
Write down only what you observed. Before any AI, three raw inputs: what happened (dates, artifacts, who was present), what the person specifically did or said, what the consequence was. If you cannot name a specific instance, you do not have feedback yet — you have a vibe, and no framework fixes a vibe.
Run the structuring pass.
Structure my observations into SBI feedback (Situation, Behavior,
Impact). I will deliver it verbally to [ROLE — e.g. "a senior
engineer who reports to me", no names].
My observations — the ONLY facts you may use:
[PASTE OBSERVED FACTS]
Produce:
1. SBI DRAFT — Situation: when and where, specific. Behavior:
only observable actions, no motives, no character words.
Impact: concrete consequence on people, work, or timeline.
2. FLAGS — every phrase in my input OR your draft that is vague,
judgment-laden, mind-reading, or disputable by a defensive
listener ("always", "unprofessional", "didn't care"), each
with a factual replacement.
3. GAPS — where my observations are too thin to support the
claim; say what a specific example would need to contain.
Hard rule: do not invent, embellish, or "improve" any example.
If a section lacks facts, say so.
Generate the three tone variants. In the same chat:
Now give me three variants of the SBI draft for a live
conversation: (a) DIRECT — plain, minimal cushioning, for
someone who prefers straight talk; (b) WARM — leads with care
and shared goals, same facts; (c) COACHING — ends in an open
question that invites their read of the situation. Keep every
fact identical across variants. Mark any sentence that differs
in factual content, not just tone — there should be none.
Good output keeps the spine constant:
DIRECT: "In Tuesday's design review, you dismissed Kavya's
concern about the retry logic before she finished — 'we've been
over this.' She stopped contributing, and the concern turned out
to be the bug we shipped. I need review pushback heard in full."
FLAGS (from earlier pass): "you always shut people down" —
unsupported generalization; one observed instance. Replaced.
Pick the variant that fits the person, then make it yours. Read it aloud once. Swap any word you would not naturally say — delivering model prose verbatim sounds like delivering model prose, and the person will hear it.
Deliver live, then listen. SBI is your opening, not the conversation. Their account may add facts you did not have; feedback that cannot survive new information was a verdict, not feedback.
Feedback drafts describe identifiable colleagues — keep names out of prompts, use role placeholders, work only in your organization's approved AI tenant, and delete drafting chats rather than letting a searchable history of everyone's worst moments accumulate.
AI turns your observations into structure and shows you your message at three temperatures — but the observations, the choice of tone, and the live conversation where their side can change your mind remain entirely, non-negotiably yours.