Proposal Generator

Deterministic proposal builder: audit findings (JSON) → client-ready proposal (Markdown). Same input shape as the discovery-call notes template (the internal playbook), so notes flow straight into a proposal with no reformatting.

Use

# 1. After the discovery call, fill a findings file (copy sample-audit.json)
cp sample-audit.json audit-<client>.json   # edit it

# 2. Generate
python3 generate_proposal.py audit-<client>.json --out proposal-<client>.md

# 3. Ship as a shareable link (styled Google Doc)
python3 ~/google/md_to_gdoc.py proposal-<client>.md

What it does for you

Input schema (sample-audit.json)

sample-proposal-output.md is a committed example built from sample-audit.json — regenerate it any time to verify the generator still runs.

Note on the ROI math

monthly_dollar_impact is used verbatim when you supply it (use this for revenue leaks like missed leads, where the value isn’t reclaimed owner-hours). When omitted, it’s derived: hours_per_week × 4.33 × hourly_value. Keep estimates conservative and grounded in what the client told you on the call — the number has to survive them repeating it to their spouse.

← Call Setup & NotesSample Proposal →