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Lead-to-Close: step 4 (proposal from call notes)

Last tested 2026-04-26 Part of AI Prompts for Solopreneurs
This is step 4 of a four-step chain - the payoff. Below are the call notes from step 3. Produce a one-page proposal with these sections:

1. The problem you described: re-state the problem in their words (use quotes from the notes if they were specific).
2. My approach: bullet-point the phases of how you'd solve it.
3. Scope and timeline: with named weeks/dates.
4. Pricing rationale: PRICE TIED TO VALUE, NOT HOURS. Calculate a value anchor (hours saved, revenue gained, time-to-payback). Buyers approve based on payback period, not on price.
5. Next step: explicit, with a date. 'Reply go by Wednesday and I'll send the kickoff doc within an hour.' No vague 'let me know what you think.'

Keep it to one page. If it doesn't fit, propose a smaller phase 1 and reference phase 2 in the next-step section.

The call notes:
{{call_notes}}

My offer + pricing:
{{my_offer_and_price}}

Why it works

Step 4 of the chain - the payoff. Takes the call notes from step 3 and produces a one-page proposal: the problem you heard (in their words), your approach, scope and timeline, pricing rationale tied to value (NOT hours), and the explicit next step. The proposal is intentionally one page - longer proposals get read less, not more. The pricing rationale is the most important section: it ties the price to the value the buyer named in the call ('this saves your team 6 hours/week, which at 2 people is 480 hours/year'), not to your hours. Buyers who see hours-based pricing immediately mentally compare your hourly rate to theirs and find a reason it's too high. Tested cleanest on Claude Opus 4.7.

Example output

Proposal: PromptPaste team rollout for Northbeam

The problem you described:
Your cut to a two-person content team made the workflow leaner but exposed how much of your team's best prompt work was buried in ChatGPT history. You estimated each team member loses 30-45 minutes per day re-creating prompts they had already built. Across the team, that's ~6 hours/week of repeated work.

My approach:
- 30-day rollout: I onboard your two team members, audit their existing scattered prompts (Notion docs, chat history, Slack), and build a curated team library of ~40-60 prompts.
- Voice-loaded brand prompts: each high-frequency prompt gets your brand voice baked in, so the output sounds like Northbeam from the first paste.
- Weekly review for the first 4 weeks: I sit with each team member for 20 minutes to refine the library based on what's actually getting used.

Scope and timeline:
- Week 1: prompt audit + library structure.
- Weeks 2-3: build and test the library.
- Week 4: roll out to both team members + first review session.
- Weeks 5-8: weekly refinement sessions.

Pricing rationale:
Flat fee: $4,800.
Value anchor: 6 hours/week × 50 weeks = 300 hours/year of work recovered. At your team's effective marketing-team rate (~$80/hr loaded), that's $24k/year of recovered output. The proposal pays back in roughly 10 weeks.

Not priced as hourly - the value is in the system, not the time spent building it.

Next step:
Reply 'go' by Wednesday and I'll send the kickoff doc within an hour. If you need me to walk through this with anyone else first (procurement, your boss, a teammate), tell me who and I'll send a tailored version.

Common mistakes

Don't skip the 'value anchor' calculation in pricing rationale. It's the single most important sentence in the proposal because it converts the price from a number to a payback period. Buyers approve based on payback, not on price. Also: do not let the proposal exceed one page. If you need two pages, the scope is too big for this stage - propose a smaller phase 1 and reference phase 2 in the next-step section. Third mistake: leaving the next step vague. 'Let me know what you think' kills proposals; 'reply go by Wednesday and I'll send the kickoff doc within an hour' closes them.

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Curated by Ivan Terechin

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