Primary outcome
Fewer expensive rebuilds
Each assumption resolved before production is a screen that never gets built twice — leadership stops funding rework disguised as iteration.
Product Design & User Experience
Validate the decision before you fund the build
We apply the Revni Adoption Friction Framework™ to test product assumptions against real users and real environments before a single production screen exists — so research accelerates delivery instead of gating it, and the team builds once.
0production screens built on an assumption that was never tested
What we tested before we built anything
0%
Build Readiness
Every assumption resolved here is a rebuild avoided later.
What we design
The interface, not just the mockup
Product & UX Design Systems
Reusable, documented component libraries built for implementation, not just a Figma file.
Field & Mobile Interfaces
Interfaces designed for the conditions people actually work in — offline, one-handed, on a job site.
User Research & Usability Testing
Structured testing that tells you where people actually abandon a task, not a guess.
Onboarding & Adoption Flows
First-run experiences built to get a new user or employee to real use, not just a tour.
Accessibility & Compliance Audits
WCAG-level reviews with fixes prioritized by real impact.
Prototype-to-Production Handoff
Design delivered in a form engineering can actually build without re-interpreting it.
The fastest path to production is the one that never gets rebuilt
Two field systems shipped on schedule. Neither one got used.
Skipping validation never actually saves time — it just moves the cost later, into a rebuild, a retraining effort, and a field team that quietly reverts to paper while the dashboard still says the rollout succeeded. Research isn't a phase bolted in front of delivery. Run alongside early technical work, it's what stops a team from shipping the same feature twice.
Signature diagnostic
The Task Completion Path Map
The Task Completion Path Map is Revni's signature diagnostic for product design — not a swimlane journey map with an assumed emotional arc, but a plot of observed task attempts. It shows exactly where real users continued, where they abandoned, and where a specific redesign brought the path back.
Report opened
FlowingWhy programmes stall
Where product decisions cost the most — and what changes when they're tested early
The expensive mistake is never the research. It's the production screen built on a guess that turns out wrong after a sprint has already been committed to it.
Without validation
Broken workflow encoded as automation
Validation treated as a phase before 'real' work
Research is scheduled as a gate in front of engineering, so it reads as a delay.
The Revni difference Oversight
Assumption testing runs alongside early technical spikes, in parallel — not as a checkpoint engineering waits on.
Revni Adoption Friction Framework™
How we govern product decisions
The Revni Adoption Friction Framework™ runs every assumption through the same evidence gates — named, tested, and resolved — before it becomes a commitment on an engineering roadmap.
Every change passes through the same control gates before it reaches production.
- Gate 01
Assumptions named before code
Every product bet is written down as a testable claim before a sprint is planned against it.
- Gate 02
Evidence over fidelity
Field observation, prototype testing, and usage data resolve assumptions — polish comes after, not instead.
- Gate 03
Resolved either way
An assumption that fails a test is as valuable as one that passes — both remove a guess from the roadmap.
- Gate 04
Embedded in engineering
Designers work alongside engineers so validated decisions convert directly into what gets built.
The framework applies to customer portals, internal tools, and field applications alike.
What changes before a line of code ships
From confident guessing to tested evidence
Deciding today
- Product bets ship as finished screens before anyone outside the team sees them
- The first real test of an assumption happens after launch, with paying users
- Rework gets billed as 'iteration' instead of counted as a cost
- Training decks compensate for interfaces that were never validated
Deciding with Revni
- Assumptions are named and tested before a production screen exists
- Field and prototype evidence resolve decisions weeks before engineering commits
- What ships has already survived contact with real users
- Zero-training adoption because the interface was proven, not just approved
What you can expect
Durable product decision outcomes
The point isn't more research — it's a roadmap that stops paying twice for the same feature.
Faster time to a build that sticks
Validating early doesn't add a phase — it removes the slowest one: shipping the wrong thing and starting over.
Higher adoption, proven before launch
Task completion is measured in the field, not assumed from a design review.
Investment decisions made with evidence
Roadmap and budget conversations start from resolved assumptions, not conviction.
Reduced training burden
Interfaces validated with real users need less onboarding, not more documentation.
Proof
What research-first looked like in the field
A national industrial services firm had already shipped two fully-engineered field-reporting systems, both quietly abandoned by supervisors in favour of paper. Before writing a line of the third system, Revni went to the sites, timed real submissions, and built a Task Completion Path Map from the two failed systems. An Assumption Ledger of six testable claims followed — two resolved as expected, three redirected the design before a production screen existed, and one confirmed a rollout decision leadership had already made. Only validated assumptions reached engineering.
Nobody trained me on this one. I just used it — it does what I was already trying to do with the paper form.
0
production screens rebuilt after launch
89%
weekly active usage within 90 days
3 of 6
assumptions redirected before reaching engineering
Where it applies
Industries where product decisions carry the most risk
The cost of an untested assumption differs by sector. The framework adapts to field, regulated, and client-facing environments.
3sectors where this capability is already deployed
How we work
Engagement models
Most engagements start by naming the assumptions already being made, and testing the riskiest ones first.
01
Assess
Assumption mapping sprint
Name the product bets already being made, and test the riskiest ones before committing engineering time.
02Most common
Build
Defined surface redesign
Research, validated prototypes, design system, and engineering delivery for a portal, dashboard, or field tool.
03
Operate
Dedicated design team
Embedded designers who keep resolving assumptions as the roadmap grows — not just at kickoff.
FAQ
Common questions
No. We work alongside engineering to ensure designs are implementable, accessible, and aligned with your delivery cadence.
Next step
Bring us the decision you're about to guess on
Tell us which product bet is closest to becoming a sprint. We'll name the riskiest assumptions and show you what testing them first could change.