For teams turning customer feedback into decisions

Decide what to build next with evidence, not opinion.

Outcomet brings customer feedback together so you can decide what to work on next. See what customers said, explain how the work supports your goals, and keep that reasoning linked to what your team ships.

01

See which problems keep coming up.

Bring customer comments together, identify related problems, and check the original sources.

Customer feedback
Recurring setup takes too much manual work
Problem · 3 source notes
review
AM
We enter the same settings again every week
support note2d
JT
Most of this week’s setup is the same as last week
call5d
RO
I need to find the settings we used last time
call note1d
02

Make the call and keep the reasons.

Review the feedback and your goals. Choose whether to explore / validate / build / fix and record why. AI can prepare a draft; a person makes the decision.

Decision
Explore
Understand recurring setup
Current Learning · v1
Human-reviewed reasoning

Learning: customers repeat similar setup work. We still need to learn which settings change. Observe their weekly workflow before choosing templates or bulk editing.

ExploreValidateBuild
03

Connect the decision to the next step.

An Explore decision can lead to an experiment. When you choose to build or fix, connect the implementation to that decision.

Discovery
Test what remains uncertain
Observe weekly setupplanned
Reusable settings hypothesisproposed
Keep the customer problem in view
Meet Nova

Let AI prepare the work. You make the decision.

Nova, Outcomet’s AI assistant, helps group feedback and draft a summary. Review the original sources, correct the draft, and choose what happens next.

Helps group related customer comments

Drafts summaries for you to review against the sources

Helps you keep the reasons with the related work

The feedback is there

Putting it together is the work.

Sales has call notes. Support has tickets. Your team has product goals and work already underway. Before choosing what comes next, you need to see which customer problems they point to—and explain why one should come first.

How it works

See how customer feedback leads to a decision.

Decision
Explore
Understand recurring setup
Current Learning · v1
Customer feedback
“We enter the same settings again every week.”note 1
“Most of this week’s setup is the same as last week.”note 2
Next investigation
Observe the weekly workflow Interviewplanned
Reusable settings hypothesisproposed
Reasoning checked by a person

Repeated entry slows down weekly setup. The goal is to reduce that work. Check which settings stay the same and which change before choosing a solution.

  1. The next step

    Observe recurring setup first. Repeated feedback is a reason to investigate; it does not establish whether templates or bulk editing would help.

  2. The evidence

    Read the original wording. Similar comments can describe different causes. Keep observations separate from your interpretation.

  3. The next investigation

    Connect the interview to the hypothesis it tests. Bring the findings back before deciding what to build.

  4. What you keep

    The feedback, the goal, the trade-off, and what you learned—ready for the next decision.

Your existing tools

Keep the reason next to the work.

Keep customer feedback and the why with the related work. Jira, Linear, and GitHub can continue to coordinate delivery and code. In Outcomet, keep the why easy to find.

Outcomet LogoThe reasons behind the work

Customer feedback, goals, and decisions.

  • What to build, fix, or investigate next
  • Original feedback that you can check
  • The goal and trade-off behind the choice
  • What you learned before and after a change
Your delivery tools

Check the connections your setup needs.

  • Jira
    Tickets, sprints, and delivery status
  • Linear
    Issues, cycles, and engineering flow
  • GitHub
    Code, pull requests, and what shipped
After release

Did the change help with the original problem?

Review the original feedback and the reason for the change. Add new observations so your team can see what changed, why, and what remains uncertain.

Why it shipped
The original comments and your reasoning
What shipped
The implementation linked to the decision
What it affected
The product area and the observations to revisit
After a build decision
Customer problem
Recurring setup takes too much manual work
The source stays linked to the problem
Build decision
Make repeated settings reusable
Linked Change
Reuse the previous setup
Capability
Project setup
review after release
Capability
Reuse settings
check new feedback
Review new feedbackDid repeated entry decrease? What still takes manual work?
Decision context over time
Explore recurring setup
original comments kept
Validate a reusable starting point
reasoning kept
Review after release
new observations kept
Keep the reasoning

A teammate can pick up where the last decision ended.

Return to the customer problem, the reason for acting, and the work that followed. If measurements live in your analytics tool, keep a link to the source with your research notes.

Start with your current process

Find the decision that needs more context.

Useful starting points

  • Customer feedback spread across calls and support notes
  • Several requests competing for attention
  • A priority that your team needs to explain

Check before adding a tool

  • Can you already find the original feedback?
  • Is the reason for the priority easy to find?
  • Can a teammate follow the work after release?
Pricing

Plans for your team and AI usage.

Choose by the number of people working in Outcomet and the AI usage you need.

Starter

Approx. 10% off

Work with a second teammate on feedback, research, and product decisions.

Regular: €99 / month

€89/ month

Introductory price

  • 1 workspace
  • 2 Admin/Editor seats
  • 500 Agent Work / month
  • Unlimited Viewers
Try Outcomet

Team plans

Compare included Admin/Editor seats, workspaces, and Agent Work.

Contact Andy to confirm trial and billing terms.

Team

5 Admin/Editor seats · 2,000 Agent Work / month

Regular: €339 / month

€289 / month

Introductory price · Approx. 15% off

Organization

25 Admin/Editor seats · 5,000 Agent Work / month

Talk to Andy — request a quote

Regular: From €749 / month

From €599 / month

Introductory price · Approx. 20% off

Introductory monthly prices. Organization is available by inquiry. Confirm applicable taxes, annual billing, trial terms, and additional usage with Andy before subscribing.

Compare plans and AI usage
FAQ

A few practical questions

What does Outcomet do?
Outcomet helps product teams bring customer feedback together, decide what to work on next, and keep the reasons linked to the work they ship.
Do we need to replace our delivery tools?
Your team can keep its delivery tools. Check how you will link the related work and which connections are available for your setup.
Does AI make the decision?
No. People remain responsible for reviewing the evidence and deciding what to investigate, build, or fix.
What can I start with?
Start with the customer comments and call notes relevant to one decision. You do not need to redesign your whole process first.
What is Agent Work?
Agent Work is the name for AI usage included in your plan. It is used for tasks such as grouping feedback or preparing a draft. One request is not a promise of one complete workflow.

Start with a decision you’re working on.