So, you've validated an idea, designed an MVP, and gathered initial user feedback. Now what?
The refine stage isn’t just about getting excited and launching a full-blown product. Before scaling, startups need to test their designs with real users in real-world scenarios. This ensures that you’re making data-driven decisions that improve usability and business impact.
At InsightDash, we specialise in weekly UX research sprints that help startups test, iterate, and scale based on real user insights. Here’s how you can refine your product or service with quantifiable UX research before going all in.
A solid quantitative hypothesis helps measure whether changes truly improve user experience. Let’s break it down:
Define who you are testing and what you want to prove.
Example hypothesis:
"We believe that including contact center information on service error pages will reduce user drop-off and improve journey completion rates."
User groups to consider:
Your hypothesis should be backed by measurable user behavior. If you’re unsure what to track, start by listing the different touchpoints you have with users. Below are some example UX metrics for the hypothesis.
Example key UX metrics
- Call Volume: Are fewer users calling support after seeing the updated error page?
- Call Types: Are users calling about different issues?
- Time on Call: Are users getting faster resolutions?
- New vs. Returning Customers: Does the change impact first-time vs. repeat users differently?
- Customer Satisfaction: Are users happier with the improved journey?
Your goal should be quantifiable and actionable.
Example Goal:
"Increase journey completion rates by 5% within four weeks."
Tracking this in a hypothesis ticket allows teams to assess the impact and refine the experience before fully implementing changes.
Once you’ve defined your hypothesis, the next step is testing and validating through UX research. Here are four effective UX research methods startups can use, and these methods we use day in and day out here at InsightDash.
Identify patterns in content usability by testing it in a survey format. This acts as a manual heat map, highlighting where users struggle with decision-making.
Use Case
Test whether users understand error messages, onboarding instructions, or navigation labels.
Understand how users group and categorize information. If users struggle to find key content, this method reveals how they expect information to be structured.
Use Case
If users can’t find your sign-up form, pricing page, or FAQ, card sorting helps reorganize your site navigation for clarity.
Users form first impressions in seconds. This method tests whether your key touchpoints communicate the right message instantly.If users are confused, your messaging needs to be clearer before launch.
Use Case
Show your landing page or sign-up flow for 10 seconds, then ask users the following 3 questions.
Discover how users naturally complete tasks and where they encounter friction.If users can’t complete key actions smoothly, your startup risks losing customers before they even convert.
Use Case
The startup world moves fast. Your users' needs will evolve, and your product must adapt.
At InsightDash, we help startups integrate weekly UX research sprints into their process—ensuring your product scales based on real user insights, not guesswork.
Want to test, learn, and iterate quickly? Book a UX research sprint today!
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