Olumide Alli (Oluserti) Product Designer Portfolio

Olumide Alli

Designer & Builder

Work

About

AI Product Lab

Contact

Let's Talk

Olumide Alli

Designer & Builder

Work

About

AI Product Lab

Contact

Let's Talk

Works

Housepik

B2C

Web Design

Product UI & UX

Housepik AI: AI-assisted home-buying decision helper

Home Buying/Renting decision paralysis solution

Industry:

Prop-tech, AI

Project Status:

Prototype Demo

Timeline:

Nov 2025

Try live demo

Visual presentation (Behance)

Led design and prototype of an AI-first chat experience that converts user-submitted property data into a defensible, explainable shortlist — reducing decision friction and enabling fast market validation.

My Role

Lead Product & UX Designer

Team

2 designers

Tech stack (prototype)

Figma, Figma make (AI no-code platform)

Project type

B2C consumer web app

I led research, IA, flows, UI, prototype wiring, and the AI no-code demo build

Problem: why HousePik exists

Homebuyers (especially first-timers) are overwhelmed by options and criteria, leading to decision paralysis — they need a fast, trustworthy way to compare meaningful choices and feel confident making one.

“I’m overwhelmed by options — I just want a straight answer I can trust.”

Quote pulled from research insight

What I shipped

A guest-first, conversational onboarding chat that collects just-enough data (≤3 required fields) and progressively reveals optional criteria.
A one-click property ingestion flow (paste link / upload photos / quick add) with parsing + confidence feedback.
Side-panel Results Analysis: ranked “Best Choice #1 / #2 / #3”, confidence indicators, short “Why this fits you” explanations, and “Immediate Recommendations” actions.
Project model with three tabs: Summary, Properties, Collaborate, with collaborator invites gated to signed-in users (owner-controlled permissions).
Single guest analysis limit + email-save (one-time secure link) to drive sign-ups without blocking initial value.
Live prototype (AI no-code) used for user testing & market validation

My role & responsibilities

Led product & UX strategy, user journey design, and interaction design.
Owned IA, onboarding, and analysis UX patterns.
Built the AI no-code prototype for live user testing.
Prioritized features and trade-offs with product & engineering stakeholders.
Designed collaborator flows & permission model.
Ran early usability sessions and iterated flows.

Users & audience

Primary: First-time home buyers and couples who need collaborative decisions
Secondary: Repeat buyers who want speed and confidence.
Use case: compare 3–6 candidate properties and choose a best fit quickly.

The solution: what the product does (core flows)

✹ Flow overview (guest path)

Landing → Start as Guest → Chat opens.
Chat asks required questions to set criteria (Location, Budget, Timeline, etc)
User adds properties (paste link / quick add / upload photos).
Run analysis → Results panel shows Best #1 / #2 / #3 with reasons + “Immediate Recommendations”.
Guest can tweak weights/criteria and re-run live but cannot save. To save: enter email (receive one-time link) or sign up.
Sign-up unlocks persistent projects, history, and collaborator invites.

✹ Flow overview (guest path)

Landing → Start as Guest → Chat opens.
Chat asks required questions to set criteria (Location, Budget, Timeline, etc)
User adds properties (paste link / quick add / upload photos).
Run analysis → Results panel shows Best #1 / #2 / #3 with reasons + “Immediate Recommendations”.
Guest can tweak weights/criteria and re-run live but cannot save. To save: enter email (receive one-time link) or sign up.
Sign-up unlocks persistent projects, history, and collaborator invites.

✹ Project view (signed-in)

Summary tab: Ranked results, confidence, immediate actions, market notes.
Property tab: All uploaded properties, descriptions, pros/cons, votes & comments from collaborators.
Collaborate tab: List of collaborators, activity feed, permission toggles, deadline.

✹ Project view (signed-in)

Summary tab: Ranked results, confidence, immediate actions, market notes.
Property tab: All uploaded properties, descriptions, pros/cons, votes & comments from collaborators.
Collaborate tab: List of collaborators, activity feed, permission toggles, deadline.

Next steps & growth roadmap

Short-term: Expand A/B testing (chat vs form), increase parsing reliability for common listing sites. Run a 100-user pilot for richer data.
Mid-term: Add optional verified data feeds (region-by-region MLS or partner APIs) to supplement user inputs. Build analytics to measure decision outcomes (e.g did users move to offer?).
Long-term: Integrate agent and lender touchpoints, build ML personalization models from anonymized interaction data, and prepare for scale with robust backend & security.

Short-term: Expand A/B testing (chat vs form), increase parsing reliability for common listing sites. Run a 100-user pilot for richer data.
Mid-term: Add optional verified data feeds (region-by-region MLS or partner APIs) to supplement user inputs. Build analytics to measure decision outcomes (e.g did users move to offer?).
Long-term: Integrate agent and lender touchpoints, build ML personalization models from anonymized interaction data, and prepare for scale with robust backend & security.

How it works in 30s

Conclusion

The HousePik design concept proves that solving home-buying paralysis isn't about more data, it’s about better clarity. By moving away from rigid forms and toward a "value-first" conversational model, we’ve created a roadmap for a product that earns user trust before asking for a sign-up. This project stands as a strategic foundation for testing how explainable AI can transform a stressful, high-stakes search into a confident, collaborative decision.