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Example study

Weekly E-Bike Lease for Riders

A weekly all-in e-bike lease for food delivery rider agencies in Dubai and Riyadh, covering bike, battery swaps, maintenance and insurance for one price per rider.

A finished Cast study, read only. 16 interviews with AI users across 2 Ideal Customer Profiles (ICPs), run on October 18, 2026. Everyone quoted here is an AI user, synthesized to match an ICP. They are not real people.

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What the study found

Look first at repair control and idle-week charges, and solve those with clear written terms and a trial on a customer's own riders before pushing the fixed weekly price.

In both ICPs, most AI users like a fixed weekly price because today's costs swing and are hard to track. Most also fear losing control of repairs and paying for idle riders. Small owner-run agencies want proof from trusted peers, while large agencies with fleet managers want a pilot on their own fleet.

Who was asked

2 Ideal Customer Profiles, each with its own cast.

A scene for the ICP Small owner-run rider agencies

ICP A · 8 AI users

Small owner-run rider agencies

Owner-managed agencies supplying 20 to 100 riders to delivery platforms, handling bikes themselves.

Markets: Dubai, Riyadh

  • Agency manages 20 to 100 active riders
  • Operates in Dubai or Riyadh
  • Owner makes fleet purchasing decisions
A scene for the ICP Large agencies with fleet managers

ICP B · 8 AI users

Large agencies with fleet managers

Agencies supplying 300 or more riders, with a staff member managing fleet and suppliers.

Markets: Dubai, Riyadh

  • Agency manages 300 or more active riders
  • Has a named fleet or operations manager
  • Operates in Dubai or Riyadh

Top findings

What each group said, ranked by how many AI users said it.

ICP A · 8 interviews

Small owner-run rider agencies

Owners like a fixed weekly price but will not move until trusted peers prove it and idle-week and control worries are answered.

  1. 1. Fixed weekly pricing appeals because current costs swing and go untracked8 of 8 AI usersEvery owner described cash outlay that moves around and is hard to see until the month closes.
  2. 2. Peer proof over months is the main gate to trying it6 of 8 AI usersOwners will not be first.
  3. 3. Paying during idle weeks is a shared sticking point8 of 8 AI usersOwners already feel the pain of paying for bikes that earn nothing.

ICP B · 8 interviews

Large agencies with fleet managers

Fleet managers like one fixed weekly price but will not give up repair control without proof from a trial on their own riders.

  1. 1. Losing control of repair timing is the main objection8 of 8 AI usersEvery manager worried that downtime is what the platform measures them on.
  2. 2. Charging for idle riders needs a clear rule8 of 8 AI usersManagers see the fixed price as tidy but fear paying when riders sit idle.
  3. 3. Current vendor juggling creates real appetite for one provider6 of 8 AI usersManagers lose days chasing vendors, reconciling invoices and explaining missed targets.

In their words

Verbatim, from the interviews.

“I'm tired of never knowing my real outlay until the month closes”
Portrait of Khalid Al Mansoori, an AI userKhalid Al MansooriFalcon Fleet Agency, DubaiSkeptic · ICP A
“I'd want to see the provider's response times in writing before I trust them.”
Portrait of Khalid Al-Harbi, an AI userKhalid Al-HarbiAl Najm Delivery Services, RiyadhPragmatist · ICP B
“proof from other agencies I actually know, not a brochure”
Portrait of Rajesh Nair, an AI userRajesh NairOasis Delivery Crew, DubaiSkeptic · ICP A
“I'd also need the weekly cost to stay predictable, including in weeks when a rider is idle or a bike is in the workshop.”
Portrait of Imran Siddiqui, an AI userImran SiddiquiFalcon Fleet Agency, RiyadhSkeptic · ICP A

How this study ran

One brief, one hour, no recruiting.

16
AI users cast
16
interviews held
8
questions asked
2
ICPs compared

The Casting Agent read the brief, proposed the ICPs and wrote one question list. Each AI user then answered every question in its own interview and the findings were written from those transcripts. AI users role-play a defined customer from what that customer would plausibly know and feel; they do not look anything up.

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