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The Right Way to Conduct Interviews for Messaging Clarity
The signals we track that most teams overlook during research
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When teams conduct customer interviews, they usually leave with a few great quotes and some vague takeaways. But most of the insight that can reshape your funnel, landing pages, or onboarding is hidden in how things are said, not just what’s said.
Picking up on those signals is what separates surface-level feedback from insights you can use to adjust strategy.
In this breakdown, we’ll walk through how we extract structured, high-impact insights from messy, unstructured interviews and how to turn them into messaging, product, or creative changes that convert better.
What to Listen for in Interviews
To get real value from interviews, you need to go beyond the words themselves and focus on how people react as they speak. These behavioral cues often reveal more than the content of their answers.
Key things to track:
Tone shifts during “aha” moments
When someone starts to understand the product or offer, their voice lifts and their explanations become more confident. These are signals of clarity and comprehension.
Hesitations and filler words
Pauses, restarts, or repeated phrases often point to confusion or uncertainty, especially when paired with tasks or instructions.
Self-congratulatory language
Phrases like “oh, I get it now” or “that makes sense” mark turning points in understanding. Identify what triggered that shift so you can reinforce it elsewhere.
Emotional language
Look for words like “frustrated,” “confused,” or “stuck.” These moments usually highlight areas of friction in the customer journey.
Track these signals alongside what’s being said. They’re often stronger indicators of what needs to change in your funnel or messaging.
How We Structure Messy Interview Data into Actionable Insights
We start messy. That’s part of the process.
First, we tell interviewees to “put your brain on speakerphone.”
Think of it as talking into a drive-thru mic. We want stream-of-consciousness thinking.
Then we manually dump everything into a doc with no structure yet.
We’re looking for emotional triggers, positive or negative word choices, friction points, and customer-described product language.
From there, we start tagging.
What’s a blocker vs a soft hurdle?
Is it close to the money (i.e., stopping purchase) or just an inconvenience?
We also use AI to detect recurring themes.
Sometimes AI flags a weaker signal that shows up in 3–4 people. Once we’re aware of it, we’ll go back and see if it really matters.
This process turns raw notes into signals. We then translate those into problem statements, hypotheses, and strategy changes.
Bridging the Gap Between Quotes and Strategy
Many teams collect good quotes but stop short of action.
We take those quotes and build:
A problem statement → What it means in context
A hypothesis → What we think could solve it
In our Usability Scorecard Decks, we include quotes to highlight the emotional impact of friction or delight. When clients see those quotes, it hits deeper than just hearing “this was a problem.” You’re seeing it through the customer’s eyes.
That emotional proof creates momentum and buy-in to solve it.
Win of the Week:
We worked with a men’s clothing brand that was losing potential buyers due to unnecessary friction in the product discovery flow.
Small design decisions were creating big drop-offs. So we restructured key choice points to reduce decision fatigue and make it easier for customers to find and select what they wanted.
Here’s what changed:
Made filters easier to find and use
Enlarged the filter button, which increased filter engagement by +78%
Switched to a full-size slideover for filter selection, adding visual context like actual color swatches and fit types
While the application rate dipped slightly (-10.6%), total filter usage increased due to more users entering the flow
Redesigned the size selection UI
Simplified the layout to make sizing options clearer and more intuitive
Added strikethrough styling to show out-of-stock options at a glance
This change led to:
+13.4% increase in fit selections
+33.5% increase in length selections
+8.4% increase in units per transaction
+15.6% lift in revenue per visitor (RPV)
+8.8% increase in average order value (AOV)
How we measured it:
We tracked engagement with filters, add-to-cart behavior, option selection rates, and full-funnel metrics like checkout starts, UPT, AOV, and RPV. The simplified interface led to more thoughtful purchasing behavior and stronger transaction metrics across both desktop and mobile.
This project was a good reminder that even subtle interface decisions, like how filters are displayed or how size options are structured, can have a measurable impact on flow and conversion.
The Overlooked Gold Inside Unstructured Interviews
One of the biggest things we see is language mismatch.
When customers describe the brand or product completely differently than the brand does, there’s a clear disconnect. You need to bridge that gap.
Often, the brand is too close to the product. They built it, they live in it, and they assume things are obvious. However, interviews reveal where knowledge gaps exist for new customers.
The fix:
Mirror customer language in your messaging.
Identify the moment something “clicked” for them. Then do more of that.
It could be a guarantee, a specific feature, or a product benefit. Whatever triggered that clarity, amplify it across your funnel.
When we’re deciding what to act on, we ask:
How many people brought it up?
Is it a blocker to purchase or just a low-friction moment?
How close is it to driving or stopping revenue?
Those questions help us separate signal from noise.
Quote of the week:
Nothing unleashes curiosity in an audience like good storytelling. Nothing inspires storytelling, in turn, like the results of curiosity.
Final Thoughts
Customer interviews are only valuable if they lead to clear decisions. When structured right, even a handful of conversations can uncover messaging gaps, product friction, or moments of clarity you can double down on.
The key is knowing what to listen for, how to organize what you hear, and how to turn that insight into action, whether that’s rewriting copy, reworking a flow, or reframing a value prop.
More on that soon.
Looking forward,

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