Turn customer evidence into product briefs worth testing.
Briefs written from what customers said, with the sources attached and the open questions still open.
A field jacket that survives a home wash.
- Why
- 41 “machine washable?” questions and wash-related returns
- Target
- Machine washable on cold, fit unchanged
- Sources
- Questions, returns and reviews, linked
- Open
- Which canvas weight survives a wash?
- Not in scope
- Waterproof
The brief the product team starts from, with every line traced to what customers said.
Sound familiar?
- Reviews say one thing and the roadmap says another.
- The brief says “more durable” and the factory has to guess what that means.
- The returns that started the idea are in a spreadsheet nobody can find.
A vague brief turns the first sample into a guess. Every wrong guess costs a round, and the weeks that come with it.
What changes.
- Evidence
- Reviews skimmed, returns forgottenReviews, returns and support grouped by problem, with counts
- Targets
- “Make it more durable”A target the factory can test, like a home wash on cold
- Sources
- In the brief writer’s headLinked on every line of the brief
- Open questions
- Found in the second sample roundListed in the brief, each with an owner
How it works. 5 steps, 4 stages.
- AI2
- Rules and automation2
- Your team1
- Approval
1Gather
Rules and automation
Pull the evidence
Reviews, returns and support tickets for the product family, with order and variant ids.
- Shopify
- Gorgias
2Group
AI
Group by problem
Counts what people asked and why they returned, and keeps their own words.
3Draft
AI
Draft the brief
Target, sources and open questions on one page. Claims you can’t support yet stay out.
Rules and automation
Number the brief and its sources
A brief id, links to the evidence, and the product record it belongs to.
- Techpacker
- FlexPLM
- Centric PLM
4Decide
Your teamApproval
Choose what to make
Your product lead sets the target and decides which questions need a test before a sample.
Complaints after launch feed the next brief
What you get. Real work, every week.
| Question | Asked | In the brief |
|---|---|---|
| Machine washable? | 41 | The target |
| True to size? | 27 | Check at fit |
| Waterproof? | 19 | Out of scope |
Counted across reviews, returns and support tickets
What customers asked, with the number behind each and where it goes in the brief.
- Which canvas weight survives a wash?Mill and wash lab2 weightsTest first
- Does the fit change after washing?Patternmaker, at the first sampleWeek 3Check at fit
- Can we say “machine washable”?Only once the lab report is inHeldNot yet
The questions the brief leaves open, each with who answers it and when.
How you’ll know it’s working.
Days from evidence to an accepted brief
How long a customer problem waits before anyone can test it.
Clarification requests per brief
Each question from the factory or the studio is something the brief left out.
Share of briefs with a source on every claim
A brief nobody can trace is a guess with a template.
Baselines agreed before we build.
Works with what you have.
Commerce
- Shopify
Support
- Gorgias
PLM & specs
- Techpacker
- FlexPLM
- Centric PLM
- We configure first
- Your PLM or tech-pack tool already holds the product record. We start there and connect the evidence to it.
- We build when
- Reviews, returns and support questions sit in different places and nobody joins them to a product.
What a first build includes.
Built in your accounts, around your team. Scope, fee and baseline agreed before we start.
- 1Design
- 2Build
- 3Run it, or hand it over
We build
- A weekly evidence feed grouped by problem
- A brief template with targets, sources and open questions
- Links from each brief to its product record
- A shortlist of questions to test before a sample
We start from
- Reviews, returns and support history
- Past briefs and sample notes
- Access to your PLM or tech-pack tool
From your team
- Owner
- Product director or category GM
- Involves
- Product development
- Merchandising
- Customer service
- Design
Questions teams ask.
Does AI write better briefs?
In a randomized field experiment at Procter & Gamble (Organization Science, 2026), AI raised the quality of concept proposals by about 0.37 standard deviations, though the ideas grew more alike. It measured proposals, not launches. So a person chooses the direction, and we compare against how you write briefs today.
Does this decide what we make?
No. It takes customer evidence as far as a brief and its first test. Range and price decisions stay with merchandising.
Who owns it once it’s running?
You do. It’s built in your accounts, documented, with training for the people who run it. Ownership usually sits with your product director or category GM. We can keep running it with you, or step back.
How do we start?
Usually with a development review: two to four weeks, a fixed fee credited to the build, and a plan that’s yours. If the job is already clear, we can scope the build directly.
Part of your development engine. One of 12 use cases, in 5 parts.
See the whole development engineIn briefs
- Customer briefsYou’re here
Works with
Start the next brief from what customers said. Start with a development review.
We reply within one business day.