UX clarity. Despite constraints.
Make the limits of your UX and Product Discovery work visible.
You've seen it, again and again:
Decisions are made before you're involved
Research is dismissed as "nice to have"
"Make it pretty" replaces problem framing
Timelines are fixed before questions are asked
Opinions outweigh evidence
Yet, accountability lands on you, even when authority doesn't:
explaining gaps
defending trade-offs
repeating the same rationale
carrying responsibility for constraints you didn't choose
working extra hours just because "I can't leave it like that"
echoUX exists for those moments.
To expose what your UX and Product Discovery work can, and can't, legitimately support.
What it does
echoUX executes UX and Product Discovery work using AI.
It turns what you've been given into an artefact with clear assumptions and limits.
Artefacts include:
a heuristic evaluation
an interview guide or research plan
a research synthesis
a workshop output analysis
an interface or product change rationale
Each artefact:
✓
makes assumptions, uncertainty, and limits explicit
✓
keeps conclusions proportionate to the method used
✓
separates evidence, interpretation, and accepted trade-offs
If a decision is already made, it remains visible.
If constraints are severe, their consequences remain visible.
Examples
Here are three common situations and the output they produce.
1 - An inherited problem statement.
Input:
The team believes the problem is that users don’t understand the product well enough during onboarding.
That’s basically the problem statement.
Can you help?
Output:
Problem Statement
As a
[Not specified]
Who feels
[Not specified]
About
Not understanding the product during onboarding
I need to
[Not specified]
So that
[Not specified]
But I face
[Not specified]
Evidence
None referenced
Source
Internal team belief
Decision Confidence
Not sufficient for decision-making
UX accountability
Limited to documentation
Usable for
Recording the belief currently in use
Not usable for
Prioritisation
Solution decisions
Claims about user needs, impact, or behaviour
2 - A delivery-driven interview script.
Input:
We’ve been asked to run interviews with this script asap.
However, it feels very feature-driven to me.
Can you assess?
Script below:
Can you tell me what you were hoping this product would help you with?
Do you understand what the product does after onboarding?
Were there moments where things felt clear or unclear?
What would you change about the onboarding flow?
Output:
User Interview Script
Interview goal
[Not specified]
Participants
[Not specified]
Context
Script provided under delivery pressure
Questions
Can you tell me what you were hoping this product would help you with?
Do you understand what the product does after onboarding?
Were there moments where things felt clear or unclear?
What would you change about the onboarding flow?
Evidence
No prior research referenced
Source
Internal team belief
Decision Confidence
Not sufficient for decision-making
UX accountability
Limited to facilitation and documentation
Usable for
Running conversations
Capturing opinions and expectations
Not usable for
Validation claims
Task-level understanding
Claims of research coverage, neutrality, or causality
3 - A survey used to assess effectiveness.
Input:
We ran a quick survey after onboarding.
That’s all the data we have.
File: onboarding_survey_results.csv
Q1: How clear was the onboarding?
Q2: What, if anything, felt confusing?
214 responses
The team wants to understand if what we deliver works or not.
Output:
Survey Results
Survey intent
[Not specified]
Respondents
[Not specified]
Sampling
[Not specified]
Reported responses
Clear: 72%
Somewhat clear: 18%
Unclear: 10%
Common mentions
Too many steps
Unclear terminology
Setup taking longer than expected
Evidence
Self-reported perception
Source
Survey
Decision Confidence
Not sufficient for decision-making
UX accountability
Limited to reporting
Usable for
Describing how respondents answered these questions
Not usable for
Explaining causes
Assessing effectiveness
Claims about observed behaviour, root cause, or success
How to use it
You paste the work you're already dealing with.
a Slack or Teams message
a Jira ticket
meeting notes
a partial or contradictory brief
bullets you wrote for yourself
Incomplete is fine.
Scrappy contexts are expected.
You don’t need to decide what artefact to produce.
You don’t need to phrase things “correctly”.
echoUX Delivers.
It identifies the relevant UX or Product Discovery work and produces the artefact.
You use it directly, when you need it.
echoUX doesn't require system configuration, budget approvals, or organisational buy-in.
You don't need to:
install anything across your team
connect it to Jira, Figma, or Confluence
go through procurement or security reviews
Pricing
$29/month — individual access, cancel anytime.
Money back if the output isn't genuinely useful.
Is echoUX worth $29 / month?
That depends on how often you are:
working from incomplete briefs
accountable for decisions you didn't control
re-explaining reasoning after the fact
carrying risk because nothing was made explicit
While not removing those conditions, echoUX releases you from having to keep justifying them.
You pay $29 / month so you don't spend evenings and late nights trying to justify work that couldn't be done differently.
Who usually pays for echoUX?
Some people pay for echoUX themselves.
Others expense it as part of learning, professional tooling, or discovery work.
If you're expected to deliver under these conditions, it's reasonable for the business to cover the cost.
Use echoUX on a real problem
Paste the work you're dealing with right now.
Limited availability. Fully refundable. Cancel anytime.
______
Just a tool you can stand behind when doing serious UX and Product Discovery work under real constraints.
Want to reach out?
Drop us a line:
hello@echoux.ai