impath
Decision intelligence for product teams

User testing,
without the wait.

Impath simulates real users with AI digital twins, so you can validate product decisions, uncover friction, and prioritize high-ROI work in minutes — not weeks.

No credit card · Free UX audit available · No signup

Impath product preview: four floating cards showing a user testing heatmap, digital twin personas, friction insights, and a simulation report.
The problem

Traditional user testing is too slow
to keep up with how you ship.

Impath gives you the same answers in a fraction of the time and cost.

Traditional user testing

Today
  • Time to results
    2–4 weeks
  • Cost per study
    $3K–$15K
  • Sample size
    5 participants
  • Iteration cadence
    1–2 / quarter

With Impath

The new way
  • Time to results
    Minutes
  • Cost per study
    $0 incentives
  • Sample size
    Unlimited twins
  • Iteration cadence
    On every change
Same insights. A fraction of the time and cost.
The panel

A panel of users that never sleeps, never cancels, and answers in minutes.

Impath gives you a panel of AI digital twins trained on real user behavior — available the moment you push a new screen, flow, or prototype.

  • Instant feedback
    Run a round of qualitative feedback in minutes, not sprint cycles.
  • Multi-segment coverage
    Every release is reviewed by twins representing each user segment that matters.
  • Runs on every change
    Wire Impath into your design and release workflow so nothing ships untested.
Live panel · Checkout v4Streaming
Cautious Buyer
Cautious Buyer
I don't see anything about refunds before I hand over my card.
Busy Executive
Busy Executive
Three steps for a checkout? I'd be gone by step two.
Mobile-First User
Mobile-First User
On mobile the CTA is below the fold — I almost missed it.
Who reviews your product

Not avatars. Not personas. Twins.

Impath ships with 8 ready-made archetypes — and lets you train custom twins from your own user research. Each one has a distinct voice, lens, and set of blind spots.

External users

6 twins
  • Skeptical First-Timer
    Skeptical First-Timer
    Never used a product like this. Easily lost, needs hand-holding.
  • Busy Executive
    Busy Executive
    Scanning for ROI. Zero patience for friction or unclear value.
  • Cautious Buyer
    Cautious Buyer
    Needs trust signals before committing to anything.
  • Tech-Savvy Early Adopter
    Tech-Savvy Early Adopter
    Spots inconsistencies. High standards. Loves depth.
  • Mobile-First User
    Mobile-First User
    Everything filtered through mobile UX expectations.
  • Overwhelmed Non-Expert
    Overwhelmed Non-Expert
    Your grandpa test twin. Gets confused by jargon easily.

Internal stakeholders

2 twins
  • Skeptical CTO
    Skeptical CTO
    Is this technically feasible, scalable, and secure?
  • CFO / Finance Lead
    CFO / Finance Lead
    What's the ROI? What's the risk? What does this actually cost?
+ Custom twins

Tailored to your business context.

Bring your own research, interviews, and segments — Impath trains twins that speak, decide, and hesitate like your actual users.

Available on Lite Pro and full Impath

See plans →
How it works

From product to insights
in four steps.

01

Connect your product

Upload screens or connect a prototype, Figma file, or live URL.

02

Pick or build twins

Start with the 8 archetypes, or train custom twins on your user data.

03

Run simulations

Twins walk through screens and flows the way your users would.

04

Get a ranked report

Friction points, trust signals, and prioritized fixes — ready to ship.

Why teams use it

Faster cycles. Smaller risk.
Better decisions.

Catch friction pre-launch

Surface usability issues before they reach real users — and the analytics dashboard.

De-risk launches

Pressure-test every release against the segments most likely to churn.

Prioritize by ROI

Every recommendation is ranked by the segments and value it impacts most.

Track UX health over time

Watch friction scores drop release over release — and prove the impact of UX work.

Sample output

Reports your team can ship from
on Monday.

Every audit lands as a structured report — quotes, friction, trust signals, and prioritized fixes.

Cautious Buyer
Cautious Buyer · checkout flow
“I almost bought, but I couldn't find the refund policy and the final price kept changing. I left.”

Friction points

  • Pricing is only revealed at step 3 of checkout — users abandon before they reach it.
  • No visible refund or guarantee policy near the final purchase CTA.
  • Trust badges are below the fold on mobile and missed entirely by most testers.

Trust signals

  • Real customer testimonials with photos appear above the fold on the landing page.
  • SSL and payment-provider logos render clearly next to the card input.

Recommendations

  1. 1Show total price (with taxes and shipping) on the first checkout step.
  2. 2Add a 30-day refund guarantee directly under the primary purchase button.
  3. 3Move trust badges into the sticky checkout summary so they stay visible on mobile.
Average friction score
78
↓ 12 since last release
Recommendations shipped
3.2×
Faster vs. user research
Segments covered
8 / 8
Every twin in this audit
Free · no signup

Run a real UX audit
in under a minute.

Upload up to 3 screens, pick a digital twin, and see exactly where users get stuck. A free taste of what Impath can do at scale.

Try it free — run an audit →3 free screens per day · No account needed
Impath Lite● Ready
Skeptical First-Timer
Busy Executive
Cautious Buyer
Tech-Savvy Early Adopter
Mobile-First User
Overwhelmed Non-Expert
Pick a twin, drop your screens, get an instant report.
Built by practitioners

Refined inside BluePixel — one of the most respected UX/UI studios in Latin America.

Impath is the engine BluePixel uses internally to pressure-test every product decision before shipping. Now it's available for your team.

14+
years building UX
200+
products shipped
40+
designers & engineers

Start testing
in minutes.

Give your team a panel of users that never sleeps — and ship product decisions you can defend with data.