1. Project Overview
Role
Product Manager & Designer
Duration
2 months (MVP)
Tools
Jira · Trello · Figma · Vue.js · MySQL · Google Analytics
Problem Statement: Small real estate agencies struggle to update listings quickly and affordably, and buyers find it hard to get fresh, accurate property data.
2. Context & Problem
Market (NL): Big portals like Funda and Pararius dominate, but are expensive/complex for small agencies.
Buyers can’t easily find updated listings.
Realtors depend on developers for every small update.
Marketplaces are costly and not flexible.
3. Goals & Success Metrics
Goals
- Build a simple, self-service platform for realtors.
- Enable buyers to find and filter properties quickly.
- Create a scalable foundation for future features.
Success Metrics
- Realtors can upload a new property in < 5 minutes.
- Buyers spend +30% more time vs old site.
- ≥ 100 listings published in month 1.
4. Research & Discovery
- 3 realtor interviews → need drag-and-drop uploads, quick price edits, live updates w/o developer.
- Buyer feedback → fast filters (price, location, type).
- Competitors: Funda (strong but heavy, costly); Pararius (clean but high costs); Ours: lightweight, affordable, fast updates.
📊 Visual: Competitor comparison (Ease of Use vs Cost)
5. Personas / Jobs to be Done
Realtor: “As a realtor, I want to upload/edit listings easily so I can keep my portfolio up to date.”
Buyer: “As a buyer, I want to filter houses by price so I can quickly find what I can afford.”
6. Backlog & Prioritization
| User Story | Priority | Status |
|---|---|---|
| As a buyer, I want to filter by price & type → MVP | Must Have | Done |
| As a buyer, I want property details with photos → MVP | Must Have | Done |
| As a realtor, I want to add/edit listings → MVP | Must Have | Done |
| As a buyer, I want a map view → Next | Should Have | In Progress |
| As a buyer, I want a mortgage calculator → Later | Could Have | Planned |
Prioritization: MoSCoW
Vertical bar chart: Must (50%), Should (30%), Could (20%)
7. Roadmap & Process
- Week 1–2: Discovery + MVP build (search, detail page, contact form).
- Week 3: Admin panel + SEO optimization.
- Week 4: Maps integration + iteration after user tests.
8. Design & Prototyping
- Wireframes in Figma (list grid, filters, detail page).
- Validated flows with 2 buyers & 1 realtor.
- Adjusted UI for mobile-first.
Buyer flow validated with prototype testing.
9. MVP Build & Delivery
Frontend
Vue.js, Tailwind CSS
Backend
PHP + MySQL
Shipped
- Search/filter, listing cards, detail page
- Realtor admin panel, contact form
- SEO basics
10. Testing & Iterations
Realtors uploaded listings; buyers searched properties.
- Slow image upload → added drag & drop + compression.
- Buyers wanted maps → integrated Google Maps.
- Search speed → optimized DB queries/indexes.
11. Outcomes & Impact
+40%
Longer buyer sessions vs old site
120+
Listings uploaded in month 1
+30%
More contact form submissions
Sessions (mins)
Listings Growth
Contacts Share
12. Learnings
- Simplicity beats feature bloat for realtor workflows.
- Buyer flow must be linear: Search → Detail → Contact.
- Small UX tweaks (upload, filters) = big impact.
13. Next Steps
- Mortgage calculator & affordability tips.
- Buyer accounts & saved searches.
- AI recommendations by budget & area.
Roadmap: Mortgage Calculator → Buyer Accounts → AI Recommendations
Screenshots
