Product

Prioritize by evidence, not by who's loudest.

Euler groups your feedback by meaning into themes, ranks them by how many customers they reach and how strong the evidence is, and separates what customers ask for from the problem underneath.

creator-platform · Insights
Pain Pointpinned

Creators abandon when payouts slip past 72 hours

Evidence strength
86%
Problem analysis Re-analyze
Underlying problemMedium confidence · AI-inferred

Creators can't plan income when settlement timing is unpredictable, so they hedge by posting on rival platforms#1#2

Reject Edit Accept

Customer requests · proposed solutions, not requirements

Instant payouts on demand#3#4

“I waited a week for my payout. If it keeps up I'm posting less here.”
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Source signals (12) · 7 customers · 4 sources

How a theme earns its rank.

  1. 1

    Signals are read

    Each new signal gets a summary, a severity, a sentiment and its key themes as it arrives.

  2. 2

    Themes form overnight

    Once a project has ten signals, Euler clusters them by meaning every night, and each cluster becomes a named theme.

  3. 3

    Each theme is scored

    A RICE score, with each input read from the evidence instead of guessed: reach is distinct customers, impact is how severe the worst reports are, and confidence is how many kinds of source back it, over how long and how recently. Effort is an estimated size you can override.

  4. 4

    The brief leads with the top seven

    Ranked, with what's new, what's growing and what's fading since yesterday.

The problem, not just the request

For any theme, Euler separates the solutions customers proposed from the problem underneath, lists the assumptions and open questions, and says how confident it is. An item without a citation is dropped.

  • Accept, edit or reject the framing, and your verdict carries over when themes are rebuilt
  • Confidence is high, medium or low, never a made-up percentage
  • Requests are kept, labelled as proposals rather than requirements
Underlying problemMedium confidence · AI-inferred

Creators can't plan income when settlement timing is unpredictable#1#2

Reject Edit Accept

Customer requests, proposed solutions, not requirements

Instant payouts on demand#3#4

2 sources

Who it hurts

Turn on customer matching and give customers attributes like plan or region, and each theme shows how many known customers in each segment it reaches, as a range rather than a single number.

  • Ranges are 95% Wilson intervals
  • Under five known customers it says “too few to estimate”
  • Connect HubSpot to weight reach by revenue

Reach by segment

Monetized

31 of 212 known customers

15%10–20%
high confidence
Partner

12 of 40 known customers

30%18–45%
medium confidence
Agency

2 of 4 known customers

too few to estimate

too few to estimate

41 of 58 signals have a resolved customer

The details.

Typed insights
Separately, Euler reads across a project's signals for pain points, opportunities, segments and risks once there are five or more.
Rebuilt nightly
Themes rebuild at 03:00 UTC from the current signals, or whenever you ask.
Severity alerts
When a theme turns severe, Euler can alert you in Slack.
Metrics beside feedback
Bind a PostHog or Amplitude metric or funnel to a theme. It refreshes nightly and sits beside the theme as context.
Hypotheses
Turn a theme and its metrics into hypotheses, each with a way to test it: an interview, an experiment, instrumentation or a funnel cut.
Unusual movement
Watch up to 20 metrics. A move outside the usual range for three days running raises a card.

Where it stops.

  • Not before there's enough

    Under ten signals there are no themes yet. Signals that don't fit any cluster stay out rather than being forced in.

  • Not causal

    Metrics sit beside a theme as context. Euler never says a theme moved a metric, and metrics never change the ranking.

  • Not the decision

    A high score is evidence. What gets built is still your call.

Questions, answered.

Ten processed signals in a project for themes, and five for typed insights.

Yes. Effort is a T-shirt size from XS to XL. Override it, and after three overrides Euler calibrates its own estimates to yours.

They're rebuilt from the current signals, so a theme can split or merge as feedback grows. Your problem-framing verdicts are matched to the new themes.

Stop drowning in feedback. Start shipping the right thing.

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