Jay Doshi
Back to Work

Commercial and Residential Property Analytics Platform

Live
Problem
Real estate clients lacked a reliable, unified source of verified transaction data and analytics to make informed commercial and residential property decisions.
Approach
Run sprint-based backlog grooming, combining direct client feature requests with prioritization based on platform stability and roadmap fit.
Outcome
Live and actively used by clients, with continuous feature releases delivered through ongoing sprint cycles.
Status
Live
Role
Own the feature enhancement roadmap for the existing platform, leading scrum ceremonies, client management, and requirement analysis, using AI tools to accelerate feature scoping and documentation.
Target Audience
Brokers, Investors, Developers, Builders
Team Size
5+
Project Duration
Ongoing
Key Skills
documentationbacklog managementproduct ownershipclient managementteam leadershipuser acceptance testing

Predictive and prescriptive analytics platform transforming verified, government sourced property agreement data into commercial and residential market insights, enabling clients to analyze property values, market conditions, and availability. Real estate clients lacked a reliable, unified source of verified transaction data and analytics to make informed commercial and residential property decisions.

Illustration of property professionals using market comparison, building profile, and rental transaction analytics displays
Property analytics platform concept visual

My Approach

Run sprint-based backlog grooming, combining direct client feature requests with prioritization based on platform stability and roadmap fit.

Key Challenges

Balancing incoming client feature requests against platform stability, since changes ship to a live system already in active use, not a pre-launch environment.
Handling client-specific customization requests within a platform meant to serve multiple brokers, investors, developers, and builders, without fragmenting the core product.
Maintaining prompt support responsiveness on any weekday, given the platform's live status leaves no buffer for delayed fixes or downtime.
Live and actively used by clients, with continuous feature releases delivered through ongoing sprint cycles.