Turn discovery notes into a proposal draft and ROI proof
Convert discovery call notes into a buyer-specific proposal outline with pain points, scope, ROI assumptions, proof points, and next-step language.
What you will have
A buyer-specific proposal draft with executive summary, scoped problem, ROI assumptions, proof points, and open questions for approval.
Setup time
2-3 hours
Time saved
3-6 hours per proposal draft
Estimated cost
$0 to $150 per month
Tools used
7 tools
Why this works
Most proposals are either too generic or take too long to customize. This workflow uses the buyer's own discovery notes to build the proposal narrative, then separates confirmed facts from assumptions. The result is a faster first draft that still needs human review, but starts much closer to what the buyer actually cares about.
Step-by-step workflow
Run the workflow
This workflow is fully available. Follow the steps below to build the system from start to finish.
1
Assemble the proposal source packet
25-35 min
25-35 min
Create one working folder or Google Doc for the deal before drafting begins. Pull the Sybill or Gong call summary, transcript snippets, HubSpot deal fields, buyer emails, pricing guidance, implementation constraints, proposal template, and approved proof points. Add a short source index that labels what came from the buyer, what came from CRM, what came from internal teams, and what is still missing. QA check: do not proceed until pricing, legal terms, timeline commitments, and delivery assumptions are either approved or clearly marked as open.
Output
A proposal source packet with buyer evidence, CRM context, approved materials, and open gaps.
SybillHubSpotGoogle Docs
Pro tip
Most bad AI proposals start with incomplete inputs. The model sounds confident even when the source packet is weak, so the packet quality is the real control point.
2
Separate confirmed facts from assumptions
15-20 min
15-20 min
Use Claude to turn the source packet into a facts, assumptions, and open questions table. Require evidence for every confirmed fact, such as transcript language, CRM notes, buyer emails, or internal pricing guidance. Mark reasonable assumptions separately from unsupported assumptions so the proposal does not accidentally present guesses as truth. QA check: anything tied to price, timeline, integration effort, legal terms, or customer outcomes must be validated before it appears in buyer-facing copy.
Output
A fact, assumption, and open-question table for safe proposal drafting.
Claude
Pro tip
This is the step that keeps AI proposal writing from becoming dangerous. Buyers notice when a proposal confidently restates something they never said.
Prompt template
Analyze this proposal source packet and separate confirmed facts from assumptions.
Source packet:
{{proposal_source_packet}}
Output a table with:
1. Confirmed fact
2. Evidence source
3. Reasonable assumption
4. Unsupported assumption
5. Open question
6. Who should validate it
7. Whether it can appear in buyer-facing copy
Rules:
- Do not infer pricing, timelines, legal terms, implementation effort, or outcomes
- Mark uncertain items as open questions
- Quote buyer language only when it is present in the source material.
3
Write the buyer problem narrative
20-25 min
20-25 min
Use the confirmed buyer evidence to write a short problem narrative before writing any proposal sections. Include current state, pain, business impact, cost of inaction, desired future state, and success criteria. Keep the buyer’s wording where it is useful, but avoid over-quoting or turning transcript fragments into a dramatic story. QA check: the rep should be able to read the narrative and say, “Yes, this is what the buyer actually told us.”
Output
A buyer-specific problem narrative that can anchor the proposal.
ClaudeSybill
Pro tip
The strongest proposal starts with the buyer recognizing their own problem. If the first page reads like your company boilerplate, the proposal is already weaker.
Prompt template
Using only confirmed facts and buyer language, write a proposal problem narrative.
Confirmed facts table:
{{facts_assumptions_open_questions}}
Discovery notes or transcript excerpts:
{{buyer_discovery_notes}}
Output:
1. Current state
2. Pain or friction
3. Business impact
4. Cost of inaction
5. Desired future state
6. Success criteria
7. Buyer language worth preserving
8. Claims that still need validation
Keep it specific, plainspoken, and grounded in the source material.
4
Map scope directly to buyer pain
30-40 min
30-40 min
Create a pain-to-scope table in Google Docs before drafting the proposal. For each proposed service, capability, feature, or phase, show the buyer pain it addresses, the evidence source, expected impact, proof point, dependency, and open question. Remove or move to an appendix any scope item that does not connect to buyer evidence or a required implementation step. QA check: no major scope item should survive unless it has a buyer problem, an internal rationale, and an owner for validation.
Output
A pain-to-scope table that keeps the proposal buyer-specific.
ClaudeGoogle Docs
Pro tip
If a proposal section does not map to buyer pain, it probably belongs in an appendix or should be removed.
Prompt template
Create a pain-to-scope table for this proposal.
Buyer problem narrative:
{{buyer_problem_narrative}}
Proposed scope options:
{{proposed_scope_options}}
Proof library:
{{approved_proof_points}}
Output columns:
1. Buyer pain or desired outcome
2. Evidence from discovery
3. Proposed scope item
4. Expected impact
5. Proof point
6. Dependency or risk
7. Open question
8. Include, revise, or remove
Do not include scope items that lack buyer evidence or a clear implementation rationale.
5
Build a transparent ROI assumptions model
45-60 min
45-60 min
Create a simple Google Sheets model with value drivers such as time saved, revenue lift, cost avoided, risk reduction, adoption improvement, or cycle-time reduction. Use conservative, base, and upside ranges instead of a single exact ROI claim. Add columns for assumption source, required buyer input, confidence level, and validation owner. QA check: if the buyer has not validated an assumption, label it clearly in both the sheet and the proposal.
Output
A transparent ROI assumptions table with ranges and validation notes.
Google SheetsClaude
Pro tip
Use ranges instead of fake precision. A credible range beats a suspicious exact number every time.
Prompt template
Create ROI assumptions for this proposal.
Buyer problem narrative:
{{buyer_problem_narrative}}
Confirmed facts:
{{confirmed_facts}}
Available metrics or benchmarks:
{{available_metrics}}
Output a table with:
1. Value driver
2. Calculation logic
3. Required buyer input
4. Conservative range
5. Base range
6. Upside range
7. Evidence source
8. Confidence level
9. Assumptions needing buyer validation
Do not invent metrics. Use placeholders for buyer inputs that are not yet known.
6
Select proof points that match the deal
30-40 min
30-40 min
Review case studies, customer quotes, screenshots, product metrics, implementation examples, and security or integration proof. Choose only the proof points that support the buyer’s specific pain, industry, technical concern, or success criteria. For each proof point, note where it should appear: executive summary, scope section, ROI section, implementation plan, or appendix. QA check: remove generic logo slides unless they support the decision this buyer needs to make.
Output
A curated proof-point list mapped to buyer pain and proposal sections.
ClaudeHubSpotGoogle Docs
Pro tip
One relevant proof point is stronger than five generic logos. Proof should reduce uncertainty, not decorate the proposal.
Prompt template
Select the most relevant proof points for this proposal.
Buyer problem narrative:
{{buyer_problem_narrative}}
Pain-to-scope table:
{{pain_to_scope_table}}
Proof library:
{{proof_library}}
For each selected proof point, provide:
1. Proof item
2. Buyer pain or risk it supports
3. Why it belongs
4. Where it should appear in the proposal
5. Permission or approval status
6. Any wording restrictions
Do not select proof that is impressive but unrelated.
7
Create the proposal outline before drafting
20-30 min
20-30 min
Use Claude to create a proposal outline from the narrative, scope map, ROI assumptions, and proof list. The outline should include executive summary, buyer context, recommended approach, scope, assumptions, ROI model, proof, timeline, roles and responsibilities, open questions, and next steps. Add a note beside each section showing which source material supports it. QA check: get the rep or sales engineer to approve the outline before generating polished copy.
Output
A buyer-specific proposal outline with source-backed sections.
ClaudeGoogle Docs
Pro tip
Fix structure before writing. It is much easier to reorder an outline than to edit ten pages of polished but misordered copy.
Prompt template
Create a proposal outline for this buyer.
Buyer problem narrative:
{{buyer_problem_narrative}}
Pain-to-scope table:
{{pain_to_scope_table}}
ROI assumptions:
{{roi_assumptions}}
Selected proof points:
{{selected_proof_points}}
Output sections:
1. Executive summary
2. Buyer context
3. Recommended approach
4. Scope by phase or capability
5. ROI assumptions
6. Proof points
7. Timeline
8. Roles and responsibilities
9. Open questions
10. Next steps
For each section, include the source material that supports it and any review risks.
8
Draft the proposal with assumptions visible
45-75 min
45-75 min
Use Claude to write the first proposal draft in Google Docs from the approved outline. Keep assumptions, open questions, buyer inputs needed, and validation items visible instead of hiding them in polished language. Write in a consultative tone that connects each recommendation back to the buyer’s stated pain. QA check: scan the draft for unsupported numbers, invented commitments, vague benefits, and anything delivery or legal has not approved.
Output
A complete first proposal draft with labeled assumptions and open questions.
ClaudeGoogle Docs
Pro tip
AI first drafts are usually too smooth. Add friction back in by labeling assumptions and explicitly asking for validation.
Prompt template
Write the first proposal draft using this approved outline and source material.
Approved outline:
{{proposal_outline}}
Source packet:
{{proposal_source_packet}}
Brand voice:
{{brand_voice}}
Rules:
- Use buyer-specific language
- Label assumptions clearly
- Keep open questions visible
- Do not invent pricing, legal terms, timelines, integrations, or commitments
- Do not overpromise outcomes
- Make every major recommendation traceable to buyer evidence
Output a complete proposal draft with section headings and review notes.
9
Create the champion-ready executive summary
45-60 min
45-60 min
Use Claude and Canva to create a one-page executive summary that the buyer champion can forward internally. Include the buyer problem, why now, recommended path, expected impact range, proof point, decision needed, and next step. Keep the page skimmable and avoid cramming the full proposal into a visual summary. QA check: ask whether the page still makes sense if it is forwarded without your email or sales call narration.
Output
A one-page executive proposal summary for internal champion sharing.
CanvaClaude
Pro tip
Your champion may forward only one page internally. Make that page strong enough to survive without your narration.
Prompt template
Turn this proposal into a one-page executive summary.
Proposal draft:
{{proposal_draft}}
Buyer problem narrative:
{{buyer_problem_narrative}}
ROI assumptions:
{{roi_assumptions}}
Selected proof points:
{{selected_proof_points}}
Output:
1. Buyer problem
2. Why now
3. Recommended approach
4. Expected impact range
5. Proof point
6. Decision needed
7. Next step
8. Short design notes for Canva
Keep copy concise enough for a one-page visual.
10
Run internal review before sending
1-2 days elapsed
1-2 days elapsed
Route the draft to the account owner, sales manager, sales engineer, delivery owner, and anyone responsible for pricing, security, or legal terms. Ask reviewers to comment directly in Google Docs using a checklist for buyer accuracy, scope feasibility, unsupported claims, pricing assumptions, delivery risk, legal risk, and missing next steps. Resolve comments before sending instead of relying on the rep to explain issues live. QA check: the final version should have no unresolved comments on scope, price, implementation timeline, or commitments.
Output
An internally reviewed proposal draft with risk comments resolved.
Google Docsslack
Pro tip
AI can make a bad scope sound convincing. Internal review protects delivery teams from accidental commitments.
Prompt template
Create an internal proposal review checklist for this draft.
Proposal draft:
{{proposal_draft}}
Known open questions:
{{open_questions}}
Review for:
1. Buyer accuracy
2. Scope feasibility
3. Unsupported claims
4. Pricing assumptions
5. Delivery risk
6. Legal or security risk
7. Missing next steps
8. Implementation ownership
9. Claims that need evidence
Return a checklist reviewers can use in Google Docs comments.
11
Prepare the proposal send email
15-20 min
15-20 min
Draft the proposal send email after the proposal is reviewed, not before. Reference the discovery conversation, state what the proposal is designed to solve, mention any assumptions that need validation, and recommend a live walkthrough. Keep the email short enough that the buyer understands the purpose without reading the full proposal first. QA check: the email should make it clear what feedback you want and what meeting should happen next.
Output
A concise proposal send email with a clear walkthrough CTA.
Claudegmail
Pro tip
Do not let your proposal travel alone. The email should push for a walkthrough and define the feedback you want.
Prompt template
Write a proposal send email.
Buyer context:
{{buyer_context}}
Proposal summary:
{{proposal_summary}}
Open assumptions to validate:
{{open_assumptions}}
Recommended next step:
{{recommended_next_step}}
Rules:
- Keep it under 160 words
- Reference the buyer's key priority
- State what the proposal covers
- Recommend a walkthrough
- Mention validation needs without sounding uncertain
- Do not over-explain the full proposal in the email.
12
Capture feedback and improve the proposal system
20-30 min after feedback
20-30 min after feedback
After the buyer reviews the proposal, log questions, objections, requested edits, decision-process changes, and which sections created confusion. Update HubSpot with the buyer’s response and save the lessons in the proposal template or proof library. Use Claude to summarize what should change in future proposals, including better discovery questions, stronger proof, clearer ROI inputs, or sections to remove. QA check: every proposal should leave behind at least one improvement to the proposal system, even if the deal does not close.
Output
A proposal feedback record that improves future deal proposals.
HubSpotClaudeGoogle Docs
Pro tip
Every proposal teaches you what buyers care about. Capture the feedback or your next proposal starts from zero again.
Prompt template
Analyze buyer feedback on this proposal.
Proposal sent:
{{proposal_draft}}
Buyer feedback:
{{buyer_feedback}}
Deal outcome or next step:
{{deal_outcome}}
Output:
1. What confused the buyer
2. What mattered most
3. Which assumptions were challenged
4. Which proof points worked
5. Which sections should be improved
6. Better discovery questions for next time
7. Updates to proposal template
8. Updates to proof library
Be specific and separate one-off deal feedback from reusable lessons.
Expected results
Drafting time saved
3-6 hours per proposal
The workflow replaces blank-page writing with a structured source packet, outline, AI-assisted draft, and reusable review checklist.
Buyer relevance
Discovery-backed proposal sections
Every major section is mapped to buyer evidence, scope rationale, ROI assumptions, or proof points rather than generic template language.
Review risk reduction
Assumptions visible before send
Separating facts, assumptions, open questions, and approval items reduces the chance of sending unsupported claims or accidental delivery commitments.
Proposal system learning
Reusable feedback loop
Buyer feedback is captured back into CRM, templates, proof libraries, and discovery questions so each proposal improves the next one.
Related workflows
Continue with workflows that share a similar GTM motion, category, or tool stack.