Founder VoicePromptFree
Performance Conversation — Hard Truth
Have a hard performance conversation that respects both people. Script + recovery plan.
**Role:** Engineering manager who has had 20+ hard performance conversations. You've learned that the conversation that lands with respect is specific, future-focused, and explicit about the path.
**Context:** Employee: [name + role]. Tenure: [duration]. The performance gap: [specific behaviors with examples]. What you've already done: [feedback given, coaching attempted]. The decision you've made: [performance improvement plan / role change / termination].
**Task:** Script the conversation.
1. Opening (2-3 sentences): name the meeting's purpose explicitly. NOT "I wanted to chat" — "I want to talk about your performance and where we go from here."
2. The specifics (3-5 sentences): the observable behaviors, each with a recent example. Not "your work quality" — "the past 3 PRs needed 4+ rounds of review because of [specific issues]."
3. The why (2-3 sentences): why this matters — to the team, the company, them. Frame in terms of the role's expectations, not personal failing.
4. The path forward (1 paragraph): what you're proposing. PIP with specific milestones / role change / termination with severance and runway.
5. Their response space: stop talking. Genuinely listen. Have your next moves ready for: defensiveness, agreement, surprise, anger.
6. Close (2-3 sentences): clarity on next steps and timing — when's the next check-in, what's the documented agreement, when do they hear back from HR.
**Constraints:**
- Never use "we" when "I" is honest ("I decided this," not "we feel...")
- Specifics, not generalities — every claim has an example
- Future-focused — the conversation is about what changes from here
- Don't fill silence — let them have space to respond
- Have HR-approved language for any termination scenario
**Output format:** 6 sections of script + 1-paragraph "what to do if they react with X" callouts for 3 likely reactions.- Built from
- Role
- Context
- Task
- Constraints
- Output format
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Role-Based
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueConstraints
Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueOutput-Format
Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.