Market research to build the customer understanding your business needs to grow
You can't make sound marketing, product, or advertising decisions without genuinely understanding your customers. Foundations is a structured qualitative research programme that gives your team the foundational customer knowledge it needs to stop guessing and start acting with confidence.
WHO IS THIS FOR
Teams who find themselves saying...
"We don't really understand our customers"
"We're making decisions based on assumptions, not evidence."
"We have data everywhere but no clear picture."
"We need to build a case before we invest in creative or strategy work."
WHAT YOU'LL UNCOVER
The strategic foundations for smarter decisions
Foundations starts with qualitative research — typically focus groups or depth interviews — to build a rich, actionable picture of your market. It gives you the strategic foundations of understanding on which to make decisions and sharpen your customer intuition.
PHASE 1
Exploration
Qualitative research to uncover the why
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Category dynamics — how customers think about and navigate your market
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Decision drivers — what really matters when people choose (and what doesn't)
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Needs and opportunities — unmet needs and white space your competitors are missing
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Category entry points — the triggers and occasions that bring people into the market
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Customer segmentation — meaningful groups based on attitudes and behaviour, not just demographics
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Barriers to purchase — what's stopping people from choosing you
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Brand perceptions — how your brand (and competitors) are really seen, including positioning strengths and vulnerabilities
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Emotional architecture — the deeper feelings, tensions, and motivations driving decisions
With an optional quantitative phase to size and validate what the qual reveals.
PHASE 2
Validation
Quantitative sizing to build your knowledge base​
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Priority sizing — how large are the segments and opportunities identified in Phase 1?
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Need-gap analysis — which unmet needs are most underserved and commercially significant?
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Brand scorecard — how does your brand actually perform vs competitors on the attributes or entry points that matter?
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Decision driver quantification — what drives choice and what's most important?
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Statistical segmentation — validate and refine qualitative segments with robust data
HOW IT WORKS
A structured market research process, tailored to your challenge
01
Scoping
We start with a conversation to understand your business question, what you already know, and what decisions this research needs to feed.
02
Design
A tailored research programme designed around your specific challenge. Typically 4–6 focus groups across key customer segments, supplemented with depth interviews or ethnography / diaries where relevant.
03
Fieldwork
We run the research — creative, engaging sessions that go deeper than traditional moderating. Underpinned by brain science and behavioural insight techniques.
04
Analysis & Insight
A clear, strategic insight document that translates findings into implications and fuel for action. A reference document for strategy and planning.
05
Strategic Playback
A facilitated debrief session with your team to work through what the findings mean for you — and what to do next.
WHY THIS MATTERS
Decision making from a foundation of customer knowledge
Clarity over guesswork
There's a difference between thinking you know your customer and actually knowing. Foundations closes that gap — so decisions come from evidence, not the loudest voice in the room.
Fewer expensive wrong turns
Ideas built on real insight are more likely to survive development and testing. You spend less time going back to the drawing board — and less budget fixing things that shouldn't have been built in the first place.
Shared source of truth
When everyone's working from the same customer understanding, things move faster. Less politics, fewer circular debates, better alignment across teams.
Sharper instincts over time
Deep customer engagement doesn't just answer today's questions. It builds an internal muscle — your team starts making better calls instinctively, with less reliance on post-hoc testing. Improves ability to evaluate AI generated outputs.