Most SaaS founders aren't blocked on ideas. They're blocked on the 14 recurring writing tasks that sit between a feature shipped and a dollar received — the investor update, the churn reply, the landing headline, the onboarding sequence, the pricing email, the hiring JD, the changelog.
Below are 4 of the 14 prompts I actually use. Copy, paste, fill the brackets, ship. The full 14-template guide covers pricing experiments, cold outreach, onboarding sequences, hiring JDs, and competitor teardowns.
The universal SaaS prompt formula
Every founder prompt worth reusing fills five slots:
[ROLE]: who the AI is writing as (senior PM, a16z partner, CX lead, copywriter)
[CONTEXT]: what the company does, who it's for, current stage (MRR, users, funding)
[INPUT]: the raw material (call transcript, churn reply, feature list, competitor URL)
[GOAL]: what this deliverable has to produce (replies, upgrades, meetings, signal)
[CONSTRAINTS]: length, tone, forbidden words, one-claim-per-sentence, etc.
Skip any slot and you'll get LinkedIn-speak — "In today's fast-paced world..." Exactly the register that makes investors, users, and hires tune out. Run rough drafts through the free prompt enhancer before you ship.
1. User research synthesizer
Use when: You did 10 interviews and have 3 hours of recordings sitting unprocessed.
You are a senior product researcher. I ran 10 user interviews. Below are the
transcripts (or summaries). Synthesize them.
Company: [1-SENTENCE WHAT WE DO]
Who I talked to: [ROLES, SEGMENTS]
Transcripts:
"[PASTE]"
Output format:
1. Top 5 problems (ranked by how many people named it, with exact quote count)
2. Top 3 workarounds people use today (and which are sticky)
3. What "good" looks like for them (in their words, not yours)
4. 3 non-obvious insights — patterns I probably missed while in the calls
5. 5 direct quotes I should steal for the landing page (speaker anonymized)
Rules:
- No "users expressed concerns about..." — write like a human talking to a founder.
- If something is a one-off, say "only 1/10" — don't inflate.
- If the data is thin, say "not enough signal here."
Why it works: The "non-obvious insights" slot forces the model to surface patterns across calls instead of summarizing each one. The "if data is thin, say so" instruction prevents the model from manufacturing signal where none exists.
2. Landing-page hero writer
Use when: You have 60 seconds to hook a cold visitor.
You are a direct-response copywriter who studied 37signals, Stripe, and Linear.
Write the hero section for my landing page.
Product: [WHAT IT DOES IN ONE SENTENCE]
For: [SPECIFIC ROLE + TRIGGER MOMENT, e.g. "Series A founders who just hired their first PM"]
Against: [THE STATUS QUO — spreadsheets, Notion, a competitor by name]
Proof: [ONE CONCRETE NUMBER OR BRAND]
Deliver:
- H1 (≤10 words, names the outcome not the feature)
- Subhead (≤25 words, names WHO it's for + WHAT changes)
- Primary CTA button text (≤4 words, verb-first)
- Secondary CTA (the "I'm not ready" path)
- 3 bullet points BELOW the fold, each starting with a verb, each naming a specific
job-to-be-done, not a feature name.
Banned words: "revolutionize", "seamless", "unlock", "empower", "leverage",
"world-class", "best-in-class", "next-generation".
Why it works: The "trigger moment" forces specificity (who's having this problem RIGHT NOW). The banned-word list is the difference between a hero you'd skim past and one you'd read twice.
3. Investor update (MRR edition)
Use when: It's the 1st of the month and your angel investors are waiting.
You are writing my monthly update for 8 angel investors. Be honest. Be short.
Month: [MONTH]
Key numbers (give me raw, I'll anonymize later):
- MRR: [X] (last month: [Y])
- Active paying users: [X] (last month: [Y])
- New logos: [X]
- Churn count: [X] (reasons in 1 line each)
- Cash: [X] runway in months
- What shipped this month: [BULLETS]
- What missed: [BULLETS — honest]
Structure the email:
1. ONE opening line naming the most important thing that happened (good or bad).
2. Numbers section — a 4-line table, no hedging.
3. Shipped (3 bullets max, each ≤12 words).
4. What I'm worried about (1-3 bullets, the real ones).
5. One specific ask (intro to [X], advice on [Y], hire referral for [Z]).
6. Sign-off, no "excited" or "thrilled".
≤400 words total. No emojis. No "onwards and upwards." No stock photos.
Why it works: The "what missed" slot is what makes investors trust you. The "specific ask" slot is what makes them useful. Most updates skip both.
4. Churn diagnostic from cancel replies
Use when: You have 12 cancellation replies and 12 different reasons.
You are a senior CX/retention analyst. I have the cancellation replies from the last
[X] users who churned. Find the pattern.
Replies:
"[PASTE — anonymized if possible]"
Product: [WHAT WE DO]
Plan they were on: [TIER + PRICE]
Tenure range: [SHORTEST] to [LONGEST]
Output:
1. The 3 most-named reasons (with frequency count, not %)
2. The 1 reason that's actually a pricing problem disguised as something else
3. The 1 reason that's actually an onboarding gap (they never activated)
4. The 1 reason we can't fix (market mismatch) — name it and own it
5. The 3 quotes I should share with my team (they hit hardest)
6. 1 product change and 1 messaging change that would plausibly save the next
cohort at this same tenure.
No "the team should focus on improving..." prose. Just the pattern.
Why it works: "The 1 reason we can't fix" is the slot that prevents endless roadmap churn. Naming what's not your problem is as valuable as fixing what is.
The other 10 prompts (quick hit list)
The full guide covers:
- Feature → benefit translator (your marketing page sounds like a spec sheet)
- Pitch slide: market size, honestly (TAM without the top-down fantasy)
- Pitch slide: traction narrative (6 numbers → one story an investor retells)
- Roadmap prioritizer (RICE + founder-judgment override)
- Changelog → release notes that get opens
- Pricing experiment framer (one variable, one kill-switch)
- Cold outreach to first 100 ICP (no "quick question" subject lines)
- 7-email onboarding sequence (signup → activated user in one week)
- Founder brain-dump → hiring JD (banned: "rockstar", "ninja", "wear many hats")
- Competitor teardown from their site (10 minutes before a positioning call)
Which model for which job (April 2026)
| Job | Best model | Why |
|---|---|---|
| Long synthesis (interview transcripts) | Claude 4.5 Sonnet / 200k ctx | Handles 3-hour transcripts without loss |
| Investor update, hiring JD, onboarding | Claude 4.5 Sonnet | Tightest prose under constraints |
| Cold outreach at scale | GPT-4o / GPT-5 mini | Cheap, fast, iterable with A/B subjects |
| Landing page H1s + pricing copy | Claude 4.5 Sonnet + o3-mini | Pair-write: one drafts, one critiques |
| Competitor teardown (browse site) | Gemini 2.5 Pro w/ web | Best native browsing + fresh SERP |
| Cost-sensitive batch work | DeepSeek V3.1 / Llama 3.3 70B | Cheapest per token, good enough |
Common mistakes SaaS founders make with AI prompts
- Asking for "an investor update" instead of specifying audience, cadence, word count, and honesty level. You'll get LinkedIn-speak every time.
- Feeding the model raw feature lists and asking for "benefits." Without the buyer and their budget trigger, every benefit is "saves time."
- Treating the LLM as a yes-man. Ask it to disagree: "If this positioning is weak, say so." Models will hedge unless you give them permission to push back.
- Skipping the constraint slot. No length cap = 600-word emails. No banned-words list = "unlock" in every paragraph.
- Generating once, shipping immediately. The best founder workflow is generate → enhance → cut 30% → ship. Every time.
Resources
- Full 14-template guide on midastools.co — same prompts, deeper context on each
- Free prompt enhancer — paste any draft, get a tighter version back
- SaaS Founder Kit ($39) — 150+ prompts and templates: pricing, pitch, onboarding, investor updates
Originally published at midastools.co. If a prompt here saves you an hour, the SaaS Founder Kit has ~140 more like it.
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