Base Design Decisions On What Users Actually Do

UX research combining user interviews, usability testing, and behavioural data before any design work starts.

Quick answer

UX research is the process of finding out how people actually use a product or site - through interviews, usability testing, and behavioural data - before committing to a design direction, so decisions are based on observed behaviour rather than internal assumptions.

What is UX Research?

UX research is the process of finding out how people actually use a product or site - through interviews, usability testing, and behavioural data - before committing to a design direction, so decisions are based on observed behaviour rather than internal assumptions.

Skip it and a redesign starts from an internal opinion instead of evidence - a stakeholder dislikes how a page looks, or a competitor shipped something newer - which risks building a new version that fails the same people the old one did, just differently.

It's different from wireframing, which structures a page once the direction is known. Research comes first: it decides what problem the design should actually solve, before any structure gets drawn.

Common problems we solve

Opinion-led redesigns

Decisions get made because a stakeholder dislikes how a page looks, not because users have a proven problem with it.

Analytics without the why

Funnel data shows where people drop off but not why, leaving the team to guess.

Untested assumptions in new features

A new feature ships into unfamiliar user behaviour without anything to validate it first.

Debate settled by whoever argues loudest

Design decisions get resolved internally instead of against real user behaviour.

Repeat redesign failures

A second version ships with the same underlying problem the first one had, in a different form.

Everything covered in this service

User Interviews & Contextual Inquiry

Moderated one-on-one interviews and task-based observation in context.

Usability Testing

Testing on live products or prototypes, with task completion and error rate review.

Behavioural Analytics Review

Heatmap, scroll-depth, and session recording review, plus funnel and drop-off diagnosis.

Persona & Journey Development

Evidence-based persona construction and end-to-end journey mapping.

Research Synthesis

Findings translated into prioritised design priorities and a handoff brief.

Our optimization framework

Scope

Define what decision the research needs to inform before choosing a method - this determines whether interviews, testing, or analytics review is the right tool.

Recruit

Source participants who match the real user base, not whoever is easiest to reach.

Test

Conduct interviews or usability tests, recorded where consent allows, with a consistent script across participants.

Review

Cross-check what people said against what analytics and session recordings show them actually doing.

Synthesize

Group findings into patterns and prioritise which ones actually change the design direction.

Handoff

Deliver a brief the design team can act on directly, with the reasoning behind each finding intact.

What actually changes

BeforeAfter
Decisions traced back to whoever argued loudest in reviewDecisions traced back to observed behaviour
Problems found after launch, expensivelyProblems found before build, cheaply
Redesign guesses at a cause and sometimes missesRedesign targets a known cause
Analytics show drop-off with no explanationInterviews and testing surface the why behind the drop-off

What we report on

Findings traced to sessions

Every design recommendation is tied back to a specific interview or usability test, not a general impression.

Task completion and error rates

Measured directly during usability testing on the live product or prototype.

Drop-off diagnosis

Cross-checked against session recordings and heatmaps, not just funnel percentages alone.

Design brief adoption

Tracked by how much of the handoff brief the next design phase actually acts on.

Tools & platforms

🎨Figma
📋Maze
✏️Adobe XD
📊GA4

Industries we optimize for

Built for teams like yours

🔍Teams about to redesign without knowing why
🚀Product teams launching new features
💬Teams where debate settles design decisions
💻SaaS and technology companies

Why choose EASI7

We fix tracking before we touch results

Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.

One accountable team, not siloed vendors

The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.

Built for how AI search actually works

Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.

Reporting tied to your own dashboard

Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.

Design opinions are cheap; research is what separates a design that looks right from one that actually works for the people using it.

How to engage us for this

Common questions

At a scale that fits the project - even a handful of user interviews or a review of existing session recordings surfaces more than skipping research entirely.

For usability testing, five to eight participants per user segment typically surfaces most of the recurring issues - more sessions mostly find the same problems repeated. Interviews for exploratory research often run a bit deeper per person rather than wider.

No - sometimes research confirms the current design is largely fine, which is a valid and useful outcome, not a failure of the process. We won't manufacture a finding to justify the engagement.

Existing analytics, heatmaps, and session recordings get reviewed first - there's no reason to re-collect data you already have. Research fills the gaps analytics can't answer, mainly the 'why' behind a pattern.

That's usually exactly when research earns its cost. We present findings with the evidence behind them so the conversation shifts from opinion versus opinion to opinion versus observed behaviour.

A focused round - interviews or testing on one flow - usually runs one to two weeks including recruitment. A fuller programme ahead of a full redesign takes longer, mainly because reaching the right participants takes time.

Get in touch

Not sure if you need a research phase?

Tell us what decision you're trying to make and we'll tell you honestly whether research is worth the time it costs.

0+ Years in market
0+ Engagements delivered
0× Avg. traffic growth
0% Avg. CPL reduction

Ready to get started?

We usually reply within 24 hours.

Reference

UX Research, in detail

Scope, area by area

AreaWhat we deliver
DiscoveryInterview and testing plan scoped to the actual decision at hand
FieldworkSessions run, recorded, and logged - interviews, usability tests, or both
SynthesisFindings grouped into patterns, not a raw transcript dump
HandoffA design brief with prioritised findings the next phase is built against

How this compares

Research-Led DesignOpinion-Led Design
Decisions traced back to observed behaviourDecisions traced back to whoever argued loudest in review
Problems found before build, cheaplyProblems found after launch, expensively
Redesign targets a known causeRedesign guesses at a cause and sometimes misses

Neither approach is instant - research adds time upfront in exchange for removing guesswork later.

Page Optimization Data

Primary Topic
UI/UX Design
Primary Intent
commercial - service research
Parent
UI/UX Design
Suggested URL
/services/ui-ux-design/ux-research
Breadcrumb
Home / Services / UI/UX Design / UX Research
Key Entities
User InterviewsUsability TestingContextual InquiryBehavioural AnalyticsPersona DevelopmentUser Journey Mapping