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Trade-off Brief

Compare feature requests in a trade-off brief

Trade-off Brief is an AI agent you set up in the ChatGPT or Claude you already use. Give it your product goal and two to five competing feature requests, and it compares them on the same criteria, keeps evidence apart from claims and estimates, and ends with the main trade-off and one clear question for whoever decides.

Pick your AI for the steps and the prompt

About each AI:ChatGPT WorkClaude app

Checked 29 Oct 2026. Not run by JuicyAgents yet. Written from each AI’s official docs; the example is illustrative.

Trade-off Brief · reply in the chat

2 requests compared, 1 decision for Noor

  • F2One customer account in two tickets and a conditional effort estimate
  • F1Needs problem evidence and an estimate
  • The briefCan propose investigating F2 first under G1, but cannot promise delivery
  • NoorDecides after the missing information is reviewed
Illustrative example: a fictional goal to reduce confusion when booking shared rooms, a Sales request for a bookings export and a Support request for a clearer room-conflict message.

How it works

What it does for you, and what it leaves to you.

People managing a product receive competing requests from sales, support and leadership. A scoring sheet does not resolve different assumptions about urgency, impact or the goal.

An assistant may make the discussion easier to prepare by separating facts and estimates. It cannot remove authority conflicts or determine the right strategy from incomplete evidence. Use one shared comparison table and a short decision meeting. Practitioners report that simple boards and approximate impact models can help, but both need maintained inputs and a person with authority. A new scoring formula does not solve disagreement about goals.

You stay in charge. Agree the decision criteria with stakeholders. Choose priorities and confirm capacity with the team; publish any roadmap change yourself.

You get

  • A feature comparison brief with options, evidence gaps and a decision question

It never

  • Publish a roadmap change or promise a delivery date
  • Invent revenue, effort, urgency or scoring weights
  • Count several messages from one customer as several customers
  • Average conflicting estimates into a single number

The brief it prepares

The example above, in words.

F2 has one customer account in two tickets and a conditional effort estimate. F1 needs problem evidence and an estimate. The brief can propose investigating F2 first under G1, but cannot promise delivery or say two customers requested it. Noor decides after the missing information is reviewed.

Settings

The setup prompt starts with the defaults, marked here.

Discussion view

Choose how the assistant organizes the result; evidence and review rules stay the same.

  • Trade-offs first (default)
  • Evidence gaps first

Your working rules

Your agreed goal, fixed constraints and who has authority to make the decision.

Optional. Empty unless you fill it in.

Check the first result

Each setup page has a fictional exercise to paste first. A good answer to it meets all of these.

  • T1 and T2 count as one customer account.
  • F1 is not assigned invented revenue or effort.
  • Translation uncertainty and missing capacity remain visible.
  • No roadmap decision or release date is claimed.
  • Removing an essential input causes a question or a blocked item, not an invented fact.
  • Changing the setting changes the requested output while source references and fixed limits remain.

Questions people ask

Does it decide which feature to build?
No. It can suggest an order, labeled as a discussion proposal, but the decision owner chooses. It never publishes a roadmap change or promises a date.
Can it score the features?
Only with a scoring method and all its inputs from you, and then it shows the calculation for review. Otherwise it compares the features in words and asks for what’s missing. It never invents weights or confidence scores.
What if two estimates disagree?
It shows the range and who gave each estimate, instead of averaging them.
How many features can I compare?
Two to five candidate requests against one agreed goal, each with its source, the evidence behind it and any estimates you have.
Which plan do I need?
Claude works on any plan, including Free, which allows up to five projects. ChatGPT Work on the web needs Plus, Pro, Business, Enterprise or Edu.

Have us set it up

Rather not set it up yourself?

We set up Trade-off Brief in your own accounts and the AI you already pay for, test it on your real work, and hand it over with a short walkthrough.

From $299

  • Runs in your accounts; you own everything
  • Tested before handover
  • Money back if we can’t make it work
Request a setup