• AI-Agent
  • Ready to Run

Rank Product Opportunities

Size customer problems from interviews and rank product opportunities

Use this Agent instantly or customize it - no programming needed

Size and rank customer problems each Friday
Reads
  • customer interview notes
    customer interview notes

    Your interview pages identify customers and describe their problems, reported losses, and interview dates.

  • current opportunity list
    current opportunity list

    Your opportunity list shows existing problem names and earlier decisions.

  • customer counts by segment
    customer counts by segment

    Your customer counts by segment anchor each cautious reach estimate.

  • impact scoring rules
    impact scoring rules

    Your impact rules explain how to compare reported time and money loss.

  • shortlist length
    shortlist length

    You choose how many opportunities appear on the Friday shortlist.

Product research workspace
Product research workspace

Your product research workspace holds interview notes and opportunities, then keeps the dated shortlist in your product plan.

Are there no interview pages to review?YesNo
Add a dated note that no interviews are available
Writes
  • no-evidence note
    no-evidence note

    Your product plan gets a dated note when there are no interview pages to size.

Group related problems and count distinct customers
Estimate reach where supported and compare stated losses
Rank opportunities and save the dated shortlist
Writes
  • ranked opportunity shortlist
    ranked opportunity shortlist

    Your dated shortlist shows reach, reported costs, interview links, assumptions, data gaps, and questions to validate next.

This Agent reviews your interview notes every Friday. It groups related problems, sizes reach using your segment counts, and compares reported losses. You get a ranked shortlist with source links and questions to test next.

Modify Agent

Customize this Agent to fit your needs using natural language.

Start Agent for Free

Enter your email address and we will send you a secure link to continue.

Airtable
Used as:
Show all Agents working with Airtable
monday.com
Used as:
Show all Agents working with monday.com
Kintone
Used as:
Show all Agents working with Kintone

Made for your industry

Rank Product Opportunities is made for businesses in these industries.

Made for your role

Rank Product Opportunities is made for people in these roles.

Made for your department

Rank Product Opportunities is made for people in these departments.

How Rank Product Opportunities works

5 steps, in order, on every run.

  1. Read interview evidenceRead the interview pages and opportunity list you choose. Keep each customer's problem and reported loss linked to its source.
  2. Group customer problemsGroup descriptions of the same problem and match existing opportunities. Count each customer once per problem and segment.
  3. Size customer reachUse interview shares and the segment counts you provide to estimate a cautious range. Show observed counts when broader estimates lack support.
  4. Rank opportunitiesCompare stated time or money losses under your impact rules. Rank problems by reach, impact, and evidence strength.
  5. Publish the shortlistAdd a dated shortlist page to your product plan. Include ranks, interview links, assumptions, and questions to validate next.

How to Get Started

Connect your tools

Connect the tools you already use, such as Airtable, monday.com or Kintone.

3 tools
Set your rules
  • Choose Friday at 9:00 a.m. and the time zone for the weekly review.
  • Identify the customer interview pages and opportunity list in the product research workspace, and give the Agent access to read them and add a dated shortlist page to the product plan.
  • For each interview page, record the interview date, customer identifier, customer segment, problem descriptions, any stated time or money loss, and the link to the page.
  • Provide the current number of customers in each segment being sized, the impact scoring rules for reported time and money losses, and the number of opportunities to include in the shortlist.
Launch the Agent

Use safe mode to approve every result before it goes out, or let the Agent run automatically.

FAQs

Frequently asked questions about the Rank Product Opportunities:

What do I need to provide before the Friday review?

Choose your Friday time zone and the research pages to review. Provide segment counts, impact rules, and your shortlist length.

How does the Agent avoid overstating customer reach?

You see sample sizes and assumptions beside each estimate. Small or selective samples show only observed interview counts.

What if interviews are missing or incomplete?

You get a dated note if no interviews exist. Notes missing a customer ID or segment appear as linked data gaps, outside reach counts.

What if a problem has no reported cost?

You see its cost marked unknown. The shortlist asks your team to seek that impact in the next interview.

What happens when the Agent is unsure?

It stops and asks you. The Agent does not guess when it reaches a decision you have not approved.

Can I review its work?

Yes. Every run creates a plain-language log that you can review and export. Logs are kept for twelve months.

What happens if I cancel?

The Agent stops at the end of the billing month and its tool connections are removed. Your run logs remain available for twelve months.

Related Agents

Agents related to Rank Product Opportunities

More ready-to-run Agents for connected work.