Make the experience
match the intent.

Variantly helps teams see where important product tasks break down, inspect the evidence and check each improvement in the next release.

What it does
Task reviews and accessibility reports, on the same evidence
Built by
Adam Stankiewicz

Product engineering, accessibility, HCI, CSCW and learning at scale.

Software meets people at the interface.

A team builds a flow so someone can accomplish something. The interface can still put a barrier in the way: missing keyboard focus, an unclear next step, or an error without a way to recover.

Our purpose is to close the gap between the experience you intended and the one people encounter. Coding agents make it easier to change an interface. Variantly helps design, product and engineering understand that experience and act on what they find.

Two lenses on the same problem.

Accessibility

Find barriers in covered pages and workflows, inspect their evidence, and review the results. When a buyer asks for an accessibility conformance report (ACR), that work becomes a scoped, dated report they can check.

See an accessibility report

Usability

A task review attempts an important task from the perspectives you describe and flags unclear next steps, missing feedback and dead ends, with the evidence for each. Attempts show how the interface behaves, not how people feel about it.

How task reviews work
The review process

Illustrated with an account-creation task.

  1. The intended taskCreate an account and reach the product
  2. Captured behaviorInspect instructions, keyboard access and error recovery
  3. The improvementTie each recommended change to its observed evidence
  4. Follow-up evidenceRecheck changed states and record what remains open

The same steps run for accessibility and usability: the task, its captured screens, findings a person decides, and a recheck after the change.

Carry what you learn into the next release.

Products keep changing, often faster now that coding agents edit interfaces. Each task keeps its screens, findings and decisions together, so a recheck after a change starts from the same task and perspective.

That shared record helps a product team prioritize work, a designer explain a tradeoff, and an engineer or coding agent act on evidence.

The standard we hold ourselves to.

Show the basis.
Keep an observation, an AI interpretation and a person’s decision distinct. Name the covered states and the gaps. Useful advice should be open to challenge.
Keep people in the picture.
Browser evidence shows interface behavior. Claims about comprehension, effort or satisfaction need evidence from people. A simulation cannot establish those outcomes.
Make inclusion part of the work.
People bring different access needs and circumstances. Accessibility is central to this direction. We want disabled people to help define useful observations and review practices.

Who’s building Variantly.

Adam Stankiewicz

Founder and builder

Adam works across product engineering, design systems and accessibility. He has led accessibility and design-system work on education products, including seven years leading an open-source design system for an online learning platform. His research background spans human–computer interaction (HCI), computer-supported cooperative work (CSCW) and learning at scale.

Questions, feedback and corrections are welcome.

Write to adam@variantly.app