INSTINCT OVER EVIDENCE
You’re making decisions on instinct
It feels right, but you don’t actually know
User Research
User research that gives you answers. Not more assumptions.
Understand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.
Sound familiar?
DATA WITHOUT CONTEXT
You’ve got data… but no context
Numbers are there, but they don’t explain glossaryBehaviourBehaviour refers to how users interact with a system, including actions, patterns, and responses.Open glossary term
SLOW INSIGHT
Research takes too long
By the time you get answers, it’s already outdated
UNVALIDATED OPINIONS
Too many opinions
Everyone thinks they know the user, but no one’s validated it
SURFACE REACTIONS
You’re reacting, not understanding
Fixing symptoms instead of addressing glossaryRoot CauseThe underlying reason a problem exists.Open glossary term
BEHAVIOUR GAP
Users say one thing, do another
glossaryFeedbackFeedback is the system response that informs users about the result of their actions. It helps users understand what has happened and what to do next.Open glossary term doesn’t match glossaryBehaviourBehaviour refers to how users interact with a system, including actions, patterns, and responses.Open glossary term
UNCLEAR PRIORITIES
You don’t know where to focus
Everything feels important, so nothing moves forward
INSIGHTS IGNORED
Research sits in decks
glossaryInsightAn insight is a meaningful understanding that explains why something is happening and what it means.Open glossary term get shared, then ignored
Can this be fixed? Yes.
01/12
When to bring me in
Bring me in when the team needs answers, not more assumptions.
This is usually the point where decisions are being made on instinct, the data is not explaining behaviour properly, and the team needs evidence it can actually act on.
Good reasons to start
- you need to understand what users are really doing and why
- important decisions are being made without enough evidence
- you want to validate ideas before committing time and budget
- research exists, but it is not yet changing product direction
What you get
- research that answers the right questions clearly and quickly
- evidence teams can use to prioritise product decisions with confidence
- validation of ideas, flows, and concepts before they go too far
- clear synthesis and recommendations instead of research that sits in slides
Proof. Pudding.
Not theory. Already delivered.
Case study
Problem
New TV product needed validation across markets
Process
Testing and research shaped product decisions pre-launch
Outcomes
Reduced risk in a competitive space
Case study
Problem
User needs across services were unclear
Process
Research defined behaviours, barriers, and needs
Outcomes
Informed a unified national platform
Case study
Problem
Users were dropping off during booking with no clear reason
Process
Research uncovered real behaviour and friction points
Outcomes
Led to clearer journeys and improved usability
Case study
Problem
Launching across markets required deep behavioural insight
Process
Research informed product direction and team alignment
Outcomes
Built around real user needs, not assumptions
Case study
Problem
Ownership journeys weren’t clearly understood
Process
Research mapped real experiences across systems
Outcomes
Created a clearer, joined-up understanding