You used to shop with us most weeks. What changed?
O
Lapsed Customer Research
Interviewer agent · 1.1K uses
Interviewer Agent
Why Foot Traffic Is Declining at Our Property
Four theories, one leasing decision, and no evidence. This settles it. Counting people through the door tells you the trend and nothing about the cause. Meanwhile the leasing, marketing and operations teams each have a theory, and the capital plan gets built on whichever is argued best. This conversation goes to the visitors themselves and ranks the theories against their real behavior.
Foot traffic recovered
Theories ranked against evidence
Interventions measured, not assumed
Used 1,676+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Information it collects
The old visit pattern: frequency and purposeWhen and how it changedWhether the cause is the property, the tenants or their own circumstancesWhere those trips go nowWhat the alternative does betterRealistic conditions for returning
Questions it always asks
The core fields every response captures.
Always establish the old visit pattern before asking what changed
Ask what would realistically bring the visits back
How it adapts
Follow-ups that change based on what people say.
If they moved away or changed jobs, mark it structural rather than a property problem
If they name a specific closure, ask whether anything else could replace that trip
Where it routes people
Different paths for different answers.
Send tenant-driven findings to leasing before the next renewal cycle
Escalate safety or condition themes to property operations
Automations it can trigger
Actions that fire the moment a response comes in.
Post theory-ranking results to #asset-management in Slack
Log the findings against the property record in HubSpot
Alert leasing when a departed anchor is repeatedly named as the cause
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI agent works
The conversation reaches people who used to visit more often and reconstructs what changed: how often they came, what the trip was for, when it tailed off, and where those trips go now. It probes whether the cause sits with the property, with the tenant mix, with their own circumstances, or with something external. Because it is repeatable, you can re-run it after an intervention to confirm the change actually landed.
Getting started
- 1
Recruit past visitors through your own list, tenant lists, or a local panel
- 2
Write down your competing theories before you run it so the test is honest
- 3
Decide which findings would actually change the leasing or capital plan
- 4
Re-run the same conversation after the intervention to confirm movement
Template Details
- Agent Type
- Interviewer
- Category
- Retail and e-commerce
- Business outcome
- Operate more efficiently
- Job to be done
- Interview customers & users
- Journey stage
- Discovery & research
- Replaces
- 1:1 interviews
- Integrations
- Slack, Hubspot, Email
- Times Used
- 1,676+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Traffic counters measure the symptom perfectly and the cause not at all. They tell you when decline started and nothing about whether it was an anchor closure, a parking change, a new competitor, or a shift in how people shop the category.
- Intercept surveys reach the people still visiting, which is precisely the wrong population. The visitors who stopped coming are the ones holding the explanation, and they are by definition not on site.
- Without a way to test competing internal theories, the capital plan gets built around whichever hypothesis is argued most confidently, which is a poor predictor of which one is true.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- The conversation reaches people who used to visit more often, which is the only population that can explain the decline, and reconstructs what the visit used to be before asking what ended it.
- It distinguishes property causes from tenant causes from changes in the visitor's own life, which is the split that determines whether the answer is capital works, leasing, or acceptance.
- Because it probes where those trips go now and what that alternative does better, you learn what you are actually competing against, which is frequently not another center.
What is foot traffic research?
It is research with past and lapsed visitors to explain why footfall at a property has declined. It complements counter data, which establishes the shape and timing of the decline, by supplying the mechanism. For a property team facing a leasing or capital decision, the mechanism is the entire question, because the same decline curve can be produced by causes with completely different remedies.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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