You used to shop with us most weeks. What changed?
O
Lapsed Customer Research
Interviewer agent · 1.1K uses
Interviewer Agent
What Tenants Shoppers Want Here
Everyone agrees you need better tenants. This names them. Backfilling an anchor or repositioning a center is a multi-year bet made largely on instinct and broker relationships. This conversation asks the people who would actually have to show up, pushes past vague category answers, and produces a ranked list of named brands with the strength of demand behind each.
Faster lease-up
Named brands, ranked by demand
Dead categories dropped
Used 963+ 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
What they currently travel elsewhere forThe specific brands they would make a trip forHow far they currently travel to reach themWhat a new tenant would need to offerWhether it would add a trip or redirect an existing oneCategories with no genuine demand
Questions it always asks
The core fields every response captures.
Always let the shopper supply brand names rather than offering a list
Ask whether a new tenant would add a trip or replace an existing one
How it adapts
Follow-ups that change based on what people say.
If they name a category, push for the specific brands within it they would travel for
If they name a brand, ask how far they currently travel to reach it
Where it routes people
Different paths for different answers.
Send the ranked brand list to leasing with mention counts attached
Flag categories with no genuine demand so they are dropped from the target list
Automations it can trigger
Actions that fire the moment a response comes in.
Post the running brand demand ranking to #leasing in Slack
Log the tenant demand data against the property record in HubSpot
Alert leasing when a new brand breaks into the top five
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 asks visitors what they currently travel elsewhere for and why, then pushes for specific names rather than categories. It asks what a new tenant would have to offer to change their routine, and whether that would add a trip or just redirect one they already make. Names are captured unprompted so the ranking reflects genuine top-of-mind demand rather than recognition of a list you supplied.
Getting started
- 1
Recruit visitors and lapsed visitors from the catchment
- 2
Decide the vacancy or repositioning question the study needs to answer
- 3
Never supply a list of brands, so the names that come back are genuinely unprompted
- 4
Deliver the ranked list to leasing ahead of the next negotiation
Template Details
- Agent Type
- Interviewer
- Category
- Retail and e-commerce
- Business outcome
- Build the right product
- Job to be done
- Interview customers & users
- Journey stage
- Discovery & research
- Replaces
- 1:1 interviews
- Integrations
- Slack, Hubspot, Email
- Times Used
- 963+
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.
- Asking shoppers to rate categories produces demand for everything. Food, fashion, leisure and services all score well in the abstract, which gives leasing no basis for prioritizing one negotiation over another.
- Supplying a list of candidate brands measures recognition rather than demand. People tick names they know, and the ranking ends up reflecting brand awareness rather than willingness to travel.
- Survey data rarely distinguishes a tenant that would create a new trip from one that would simply capture spend already happening on site, yet only the first grows the asset.
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 never supplies brand names, so every name that comes back was genuinely top of mind. Counting unprompted mentions produces a ranking leasing can defend in a negotiation.
- It starts from what people already travel elsewhere for, which grounds demand in existing behavior rather than aspiration and immediately identifies the gaps worth filling.
- Asking how far they currently travel quantifies the strength of demand, since a brand people drive thirty minutes for is a stronger anchor case than one they would visit if convenient.
What is tenant mix research?
It is research with shoppers in a catchment to establish which retailers and services they would actually travel to a property for. It differs from category demand studies, which measure appetite in the abstract, by insisting on named brands and by quantifying how far people currently go to reach them. For leasing teams repositioning a scheme or backfilling an anchor, that specificity is what turns research into a target list.
FAQ
Frequently Asked Questions
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