AI UX RESEARCH / MARKET VALIDATION
Validating U.S. real estate agent demand before committing to an AI MVP development
Prevented 3-month AI MVP build
CHALLENGE
MY TASK
Led market validation research by recruiting U.S. realtors, conducting interviews, and synthesizing insights to guide the founder’s MVP and investment decisions.
TASK TIMEFRAME
6 weeks
KEY FOCUS AREAS
- User research & assumption testing
- Recruitment strategy & research ops
- Interview design & facilitation
- Affinity mapping & synthesis
- Founder decision support
ALL RESULTS
- Validated that only ~30% of interviewed realtors experienced sufficient pain to justify AI automation
- Identified that the core problem was situational and dependent on agent volume and business maturity
- Enabled the founder to pause a 3-month AI MVP development before committing engineering resources
- Prevented building an over-scoped product misaligned with the true addressable market
CORE RESULT
98 hrs
My time spent for this research
300$
Budget spent to pay realtors for interviews
40%
Free interviews
34
Total number of leads agreed for interviews
OVERVIEW OF MY RESEARCH PROCESS
Step 1 — Research framing & assumptions:
Defined 3 testable assumptions and translated them into a focused interview script centered on real agent workflows and decision triggers.
Step 2 — Recruiting U.S. realtors:
Built a multi-channel recruitment strategy that secured qualified real estate agents across 6 U.S. states within a limited research budget.
Step 3 — Interviews:
Conducted 10 in-depth interviews with U.S. realtors to uncover lead-handling behaviors, automation pain points, and willingness to pay.
Step 4 — Data synthesis & analysis:
Synthesized interview data through affinity mapping and customer profiling to clearly validate or invalidate each core assumption.