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Note from the User Intuition Team

Explore a 43-participant Walmart shopper study: actual interviews, source evidence, a sample presentation, and two proposed follow-up studies. See how each finding helps shape the next research question.

Step 1

Design The Study

Every study starts with a research plan. You define the objectives — our AI builds the discussion guide, screener, and timeline.

Objective

Reconstruct one real Walmart trip per shopper, end to end, to find where in the journey the basket is actually won or lost, and which lever the store can pull at each point.

Learning Goals

  • Establish where the purchase decision is actually made, and how much of it happens before the shopper reaches the door.
  • Map the trip as a sequence of stages and locate the friction in each one.
  • Separate friction that gets resolved from friction the shopper simply absorbs.
  • Distinguish what shoppers say mattered most from the moment they actually remember.
  • Test whether stated loyalty is preference or proximity.

Key Questions

  • What set this particular trip off, and how much was decided before leaving home?
  • How do shoppers navigate the store, and what happens when that fails?
  • Where does friction occur, how severe is it, and who resolves it?
  • What mattered most about the trip, and did any moment stand out at all?
  • Would they shop there again, and what is that intention actually resting on?
Step 2

AI Conducts the Conversations

Each participant completes a 10–20 minute AI-moderated voice interview. The AI moderator adapts questions in real time, probing deeper on interesting responses.

Timeline & Sample Size

  • Sample size: 43 AI-moderated voice interviews with Walmart shoppers
  • Evidence base: 38,600 words of shopper speech, every quote traced to its transcript
  • Coding: Two independent blind passes over every transcript, 98% agreement on the base
  • Report delivery: Full research report delivered within 24 hours
  • Methodology: Conversational AI moderator with real-time adaptive probing
W10
10 min

Grocery top-up, supercenter

“Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.”

Routine top-upOne-stop shopperPrice aware
W30
14 min

Phone replacement, unplanned and urgent

“It made me feel so safe so relieved, and it brightened my day.”

Urgent replacementStaff-assistedNew to the area
Step 3

Get Evidence-Backed Results

Explore three questions from the Walmart study, with a finding, a chart, and supporting shopper quotes for each.

Shopper Decision Study

How Walmart Shoppers Decide

Sample: 43 shoppers

Three questions from a study of 43 Walmart shoppers. Each finding links back to what participants said.

1. Where do shoppers get stuck?

The shelf accounted for 20 of 51 coded friction moments, more than any other stage.

Where did friction occur?

Share of 51 coded friction moments, by journey stage

At the shelf
20
39%
Finding it
12
24%
After the trip
6
12%
Checkout
5
10%
Staff
4
8%
Arriving
3
6%
The trigger itself
1
2%

Shelf problems included missing stock and difficulty choosing between variants. Five of 43 shoppers described that choice difficulty, raising a follow-up question: what information would help them decide?

2. Does the friction get resolved?

Seventeen of 43 shoppers described an obstacle that nobody resolved.

How did the friction end?

Outcome per shopper (n=43)

Never resolved
17
40%
No friction to resolve
9
21%
A staff member fixed it
9
21%
The shopper fixed it themselves
8
19%

Some shoppers preferred to avoid staff; others described useful assistance. The accounts suggest testing when self-service guidance helps and when a person is needed, rather than assuming one approach fits every trip.

3. Why do shoppers say they will return?

Thirty-six of 43 said they would shop at Walmart again. Price, proximity, and familiarity featured in their accounts.

Would you shop there again?

Stated return intent (n=43)

Yes
36
84%
Unclear
4
9%
Conditional
2
5%
No
1
2%

One shopper compared stores on price and distance; another pointed to previous Walmart visits. These explanations help us understand stated intent, but the study did not observe their next shopping occasion. That is the gap a follow-up study can investigate.

This excerpt highlights 3 questions. Explore the broader study in the presentation below, or see the two proposed follow-up studies.

Step 4

Present It To Your Team

Explore the sample presentation, including the evidence, recommendations, and limits of this shopper study. Download the PDF to inspect the full readout.

Title slide: How Walmart shoppers decide. 43 shoppers, 7.6 hours of interview, 34 who hit an obstacle, 36 who will return anyway.

1 / 15How Walmart shoppers decide

Download PDF

Fifteen slides, built from the same 43 interviews as the report above. Click the slide, use the arrow keys, or jump with the markers.

Step 5

Create Compounding Intelligence

Every study feeds your searchable intelligence hub. Query past research, surface patterns across studies, and re-mine interviews for new insights — so your customer knowledge compounds over time.

Which shopper problems should we investigate next, and what evidence are we missing?

The study points to two useful next questions. Five of 43 shoppers described difficulty choosing between variants. Their accounts identify a decision problem, but do not tell us which guidance would help them choose.

Thirty-six of 43 said they would return. That is stated intent. Shoppers also described comparing stores on price and distance, so we still need to understand what happens when they make their next store choice.

Test a way to help shoppers choose, then investigate when repeat visits give way to switching. The proposed studies below connect each question to the evidence that raised it.

Step 6

Decide What to Research Next

Adaptive research connects evidence gaps to your next study. These two proposed follow-ups show how findings from the Walmart study shape the next research questions.

How we choose the next study

For each learning goal, we assess who the evidence comes from, the depth of their accounts, important differences between shoppers, and exceptions or competing explanations. We then identify what the evidence supports and which unresolved gaps could change the decision. The next study targets a consequential gap with a question, audience, and method suited to resolving it.

Proposed study 1 · Concept test

Would clearer shelf guidance help shoppers choose?

What we learned. Five of 43 shoppers described difficulty choosing between variants.

What remains open. Is the barrier unclear differences, uncertainty about their own needs, or something else? The study did not test a solution.

Next study. Show recent category shoppers the current product information and a simple comparison guide. Explore how they choose, what they understand, and what still leaves them unsure. Test the hypothesis that clearer differences make the choice easier, and identify what to refine before an in-store trial.

Proposed study 2 · Follow-up interviews

What makes shoppers return—or switch stores?

What we learned. Thirty-six of 43 shoppers said they would return. Price and distance also featured in store comparisons.

What remains open. Return intent does not tell us where the next purchase happened or which obstacles changed that choice.

Next study. Recontact shoppers after their next comparable shopping occasion, including those who returned and those who bought elsewhere. Reconstruct the choice and explore price, distance, availability, and unresolved friction. Test whether convenience keeps shoppers returning, and identify the problems to prioritize in a retention intervention.

These are proposed studies, not additional findings from the 43 interviews. Review and approve a follow-up before it runs. Explore adaptive research.

Why User Intuition

Bring customer evidence to your next client recommendation.

Evidence Backed Insights

Build client recommendations on real customer conversations. Trace findings to their source quotes and bring the evidence into your presentation.

Speed Without Compromise

Move from client brief to interviews and findings in one workflow. AI handles moderation and analysis; your team reviews the evidence and shapes the recommendation.

No Monthly Fees

Start with five voice interviews for $150, with no monthly fee on Starter. Recruitment and any incentives for your own participants are additional. Explore pricing.

Get Started

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Try 3 interviews free with your own participants. Or book a call and we'll build a real study together.

Self-Serve

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Pricing

Transparent per-interview pricing — no contracts or retainers.

No contract · No retainers · Panel results in 24 hours

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