- AI-Agent
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Score Product Opportunities
Rank proposals using customer interview evidence
Use this Agent instantly or customize it - no programming needed
- Ready batch updateReady batch update
Your batch status change starts the run and identifies the batch page.
- Interview batchInterview batch
Your batch names proposed opportunities and links to their interview notes.
- Customer interview notesCustomer interview notes
Your interview notes contain customer quotes and links back to their source pages.
- Scoring rubricScoring rubric
You choose the impact and evidence criteria, weights, score scale, and tie rule.
- Existing opportunity rowsExisting opportunity rows
Your matrix shows existing opportunities and any scores for this batch revision.
Your Agent receives ready-batch updates from monday.com and reads linked customer notes there.
Your Agent checks existing rows in opportunity matrices and writes ranked comparisons.
- Review-needed rowsReview-needed rows
Your matrix identifies missing criteria, missing notes, or unsupported claims and leaves affected scores unscored.
- Scored opportunity comparisonScored opportunity comparison
Your matrix shows each proposal's criterion scores, weighted total, rank, and reasons.
- Customer quote linksCustomer quote links
Your scored rows link customer quotes to their interview note pages.
- Open questionsOpen questions
Your rows show which unanswered questions could change the ranking.
- Review-needed rowsReview-needed rows
Your matrix identifies missing criteria, missing notes, or unsupported claims and leaves affected scores unscored.
This Agent starts when you mark an interview batch ready. It reads linked notes and scores proposals against your criteria. It writes a ranked comparison to your opportunity matrix.
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AirtableUsed as:
- Opportunity matrix
Your Agent checks existing rows in Airtable and writes ranked comparisons.
monday.comUsed as:
- Interview notes workspace
Your Agent receives ready-batch updates from monday.com and reads linked customer notes there.
- Opportunity matrix
Your Agent checks existing rows in monday.com and writes ranked comparisons.
KintoneUsed as:
- Opportunity matrix
Your Agent checks existing rows in Kintone and writes ranked comparisons.
Made for your industry
Score Product Opportunities is made for businesses in these industries.
- Software
Rank product ideas from customer interviews by impact and evidence.
Show all Agents for the Software industry - Consumer Packaged Goods
Score product opportunities from customer interviews against shared criteria.
Show all Agents for the Consumer Packaged Goods industry - Video Games
Compare game opportunities using player quotes and agreed scores.
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Made for your role
Score Product Opportunities is made for people in these roles.
- Product Manager
Rank interview-backed opportunities for the next product decision.
Show all Agents for the Product Manager role - Product Owner
Compare customer-backed opportunities before shaping the backlog.
Show all Agents for the Product Owner role
Made for your department
Score Product Opportunities is made for people in these departments.
- Product Management
Rank product opportunities with scores tied to customer quotes.
Show all Agents for the Product Management department
How Score Product Opportunities works
5 steps, in order, on every run.
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Read Interview NotesRead the ready batch and linked notes. Pull proposed opportunities, customer quotes, and source links into the comparison.
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Check Existing Matrix RowsFind rows for this batch and page revision. Match proposals to existing rows and flag names that may overlap.
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Score the OpportunitiesScore impact and evidence against the criteria you choose. Explain each score using customer quotes and flag missing evidence.
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Rank the ComparisonApply your weights and tie rule to rank proposals. Add questions that could change their order.
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Update the Opportunity MatrixWrite ranked rows with supporting quotes to the opportunity matrix. Add reasons and questions for the product lead.
How to Get Started
Connect the tools you already use, such as Airtable, monday.com or Kintone.
3 tools
- Choose the interview batch pages to watch and a Ready for scoring status; each batch page names proposed opportunities and links to interview note pages containing customer quotes.
- Set the impact and evidence scoring criteria, weights, score scale, and tie rule before the first batch is reviewed.
- Choose the opportunity matrix and its fields for batch ID, opportunity, criterion scores, total, rank, reasons, quote links, open questions, and review status.
Use safe mode to approve every result before it goes out, or let the Agent run automatically.
FAQs
Frequently asked questions about the Score Product Opportunities:
You choose the interview batches, scoring criteria, weights, and tie rule. You also choose where results go in your opportunity matrix.
You get a review-needed row that names the missing note or criterion. Affected scores stay unscored until you resolve the gap.
Your matrix shows quote links beside the reasons for each score. If a proposal lacks a quote, its evidence appears as unsupported.
No. Your product lead sees a possible overlap flagged in separate rows and decides whether they refer to the same opportunity.
It stops and asks you. The Agent does not guess when it reaches a decision you have not approved.
Yes. Every run creates a plain-language log that you can review and export. Logs are kept for twelve months.
The Agent stops at the end of the billing month and its tool connections are removed. Your run logs remain available for twelve months.
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