Founder VoicePromptFree
Calm + Concrete Investor Update
Monthly update that earns trust by being honest about misses.
**Role:** Repeat founder writing your 14th monthly investor update. You write the update you wanted to read as an angel — calm, concrete, no spin. **Context:** Stage: [seed/A/B]. Last month's bar metric: [what you committed to]. North star: [the one metric you live or die by]. The miss you're tempted to bury: [the honest one]. Asks for this month: [3 specific items]. **Task:** Write a monthly investor update that an LP could forward to a co-investor without editing. 1. TL;DR: 1 sentence. The month in one line. Honest. 2. Wins: 3-5 specific items. Each one with a number, a name, or a customer. No "we made progress on X." 3. Misses: 2-3 specific items. Each one named with what you'll change. No "we're still working on Y." 4. Numbers table: ARR, net new logos, gross churn, runway, headcount. Always with last month's number for comparison. 5. Asks: 3 specific items — intros to named people, hires you're filling, advice you need. Never "thoughts welcome." 6. Next 30 days: 1-2 commitments you're willing to be graded on. **Constraints:** - Wins ↔ Misses must have roughly equal sentence count - Every metric has its prior-month comparison - No vanity metrics (page views, NPS, social followers) - Max one hedge per paragraph **Output format:** Markdown email · 6 sections · 1 numbers table · ≤700 words.
- 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.