Method Fits Question
Tepia picks interviews, field visits, card sorts or usability tests based on what you need to learn, not a fixed research package.
Read: Mobile App UI and UX Design ServicesTepia runs UX research and usability testing for mobile and web apps, from interviews and field observation before design to moderated tests of prototypes and live releases. Each study ends with findings ranked by severity and a System Usability Scale score you can track over time, delivered as changes to wireframes and User Stories rather than a report that sits unread.
Research earns its place when it changes what gets built next week, not when it produces a slide deck.
Tepia picks interviews, field visits, card sorts or usability tests based on what you need to learn, not a fixed research package.
Read: Mobile App UI and UX Design ServicesEvery finding is rated by how badly and how often it blocks users, so Tepia and your team fix the problems that matter first.
Read: App Redesign ServicesMobile studies run on real phones, often where the app is used, because a desk test hides glare, gloves and one handed use.
Read: Product Design Sprint for New AppsTepia scores key flows with the System Usability Scale, so you can see whether each release actually made the app easier to use.
Research benchmarks Tepia uses when planning and scoring usability studies.
Research compiled by MeasuringU across hundreds of studies puts the average System Usability Scale score at 68 out of 100.
Nielsen Norman Group found a test with five participants uncovers about 85 percent of the usability problems in a design.
Tepia clients report apps averaging 4.5 stars on the App Store and Google Play, and store reviews are one input Tepia studies.
The most common research mistake is running the same study for every problem. Tepia starts from the question you need answered and picks the lightest method that answers it:
| Question | Method | Typical participants | Output |
|---|---|---|---|
| Who are our users and what is hard for them today? | Interviews and contextual inquiry, such as ride alongs or store visits | 6 to 12 people | Interview Summary, journey map, user statements tied to needs |
| How should features and menus be organized? | Card sorting and tree testing | 15 to 30 people, remote | A navigation structure users can predict |
| Can people complete the core tasks? | Moderated usability tests of a prototype or build | 5 people per round | Severity ranked findings with video clips |
| Which of two designs works better? | Unmoderated tests or an A/B test in the live app | Dozens to thousands | Completion rates and time on task by version |
| Where does the live app frustrate people? | Funnel analytics, session replay, store review and support ticket analysis | Existing data | A problem list backed by evidence |
| Is the app getting easier to use? | System Usability Scale after each test round | Every participant | A benchmark score per release |
| What can an expert spot quickly? | Heuristic evaluation | 2 or 3 Tepia evaluators | Issues mapped to Nielsen’s heuristics |
Small rounds repeated often beat one large study. Five participants find most problems in a flow, so Tepia would rather test, fix and test again than run fifteen sessions on a design that will change anyway.
A good usability test gives people a realistic goal and then stays quiet. Tepia writes tasks as scenarios, such as rebooking a cleaning for next Thursday because something came up, rather than instructions like tap the calendar icon. Participants think aloud, the moderator does not rescue them, and observers from your team watch live so nobody has to be convinced later.
Mobile testing needs extra care. Tepia runs sessions on real phones, sometimes the participant’s own, so their text size, dark mode and accessibility settings come along. For field and retail apps we test where the work happens: outdoors in bright light, with gloves on, standing in an aisle or sitting in a truck between jobs. Remote sessions use screen sharing from the phone with recorded consent, which lets us reach users across the country in a single week.
Findings are only as good as the people in the sessions, so Tepia writes a screener with you that filters for the behaviors that matter, such as ordering groceries online at least monthly or managing more than ten technicians. Your own customer list is usually the best source; for new products we recruit from research panels against the same screener.
For staff facing apps we test with employees from each role and shift, not only the managers who requested the tool. We include people who use screen readers, larger text or switch access when the audience calls for it, which also supports WCAG 2.1 AA accessibility goals. And we avoid testing with friends, family or the project team, who know too much to struggle in the places real users will.
Research that ends in a long report rarely changes anything. Tepia rates every finding on a four level scale: critical when users cannot finish the task, serious when they finish only with real effort or errors, minor when they hesitate, and cosmetic when nothing is blocked. Each finding notes how many participants hit it, links to the video moment, and proposes a specific fix.
Within two working days of the last session, Tepia holds a short review with your product owner and the engineering lead. Critical and serious items become User Stories or bug tickets with the clip attached, so the developer fixing a confusing checkout has watched someone struggle with it. Minor items go into the backlog with context, and anything we chose not to fix is written down with the reason. The next test round then checks whether the fixes worked, which closes the loop instead of starting a new list.
Research is built into each of the six Tepia phases, so findings land where they can still change the product.
See the full Tepia process.
A live app already holds a lot of evidence. Tepia begins with what you have: funnels from your app analytics, App Store and Google Play reviews grouped by theme, support tickets, and a heuristic review of the main flows. That usually narrows the problem to two or three flows worth testing with users.
We then run focused usability rounds on those flows, propose changes as revised wireframes, and test again before engineering starts. When the findings point to deeper structural problems, the work feeds an app redesign or longer term app evolution consulting. Browse our work or contact Tepia to plan a study.
A paragraph or two with information on your product/service or describes a problem your product/service is designed to solve.
CEO
Senior Project Manager
VP & Operations Manager