Create useful evidence before committing to a pilot.
A useful collaboration would create evidence that improves renter decisions before either party commits to an integration or pilot. The current opportunity is to test one bounded part of the decision journey, evidence model or deterministic rules.
Current boundaryExploratory conversations only. No partnership, pilot, integration or data-sharing agreement is established.
Shared value
Combine a working model with real domain context.
MIN–MAX Living contributes a working decision model and inspectable fictional scenarios. A collaborator contributes renter, housing or technical context. Together, the first deliverable should be a measurable learning result that neither side could produce as credibly alone.
Small first commitment
Choose one decision risk.
Start with one renter-comprehension risk, evidence contract or failure mode rather than a broad partnership promise. The default starting point is one 90-minute working session, followed by a concise evidence brief and stop-or-proceed recommendation.
Useful outcome
Leave with a stop or proceed decision.
The first deliverable is evidence: what worked, what failed, what remains unsafe and whether a larger study or integration is justified.
Build-or-partner test
Prove a reason to collaborate, not just a reason to talk.
Using MIN–MAX Living should be considered only if a bounded study or integration reaches a useful renter outcome with less time, risk or rework than the organization’s current tools or an internal build. The comparison should include implementation effort, manual data entry, decision comprehension, trust and ongoing evidence maintenance.
01
Renter insight and service design
Where this could fit
Renter advocates, housing researchers, relocation services or product teams with ethical access to consenting participants.
Shared outcome
Learn whether renters can identify missing evidence, understand trade-offs and make a deliberate choice without false certainty.
Ola contributes
Provide the current journey, fictional scenarios, evidence states and evaluation questions.
The other party contributes
Provide bounded domain feedback or access to consenting research participants under an agreed protocol.
First evidence step
Review one scenario, select one comprehension risk and define the result that would justify a larger study.
Evidence produced
Uncoached task completion, explanation quality, missing-fact detection and the points where trust breaks down.
02
Housing data and product integration
Where this could fit
Housing-data providers, property-technology teams or technical reviewers evaluating a source-neutral decision layer.
Shared outcome
Determine whether deterministic cost logic, evidence provenance, state transitions and privacy boundaries are strong enough to support one future integration hypothesis.
Ola contributes
Provide the public contract, illustrative rules, test fixtures and current limitations.
The other party contributes
Review one bounded interface or data-quality risk without receiving private employer material or production credentials.
First evidence step
Choose one generalized contract or failure mode and define the evidence required for a safe next step.
Evidence produced
A documented source contract, failure and recovery behavior, privacy boundary and explicit stop or proceed decision.
Pilot readiness
Earn a pilot with a small, measurable study.
Required boundaries
Use fictional or explicitly permissioned participant data; no production credentials, rental application, payment or automated housing decision.
Define one target renter task, a comparison method and a measurable result before testing.
Proceed only if the study improves comprehension or decision quality without concealing uncertainty or weakening participant trust.
Current product evidence
The fictional example demonstrates cost recomputation, missing- and conflicting-evidence handling, explicit must-haves, human choice or abstention and decision invalidation after a material change.
Review the current product and choose one testable boundary.
The interactive example uses fictional data and session-only state. It can support a first conversation without production credentials, private employer material or a commitment to integrate.