Research AI Data Platform

Challenge

The company aimed to enhance its platform with AI-powered capabilities to improve efficiency and deliver more intelligent customer workflows. However, three main challenges were slowing progress:

• Product releases took up to 6 months, delaying innovation

• Customer feedback was not systematically integrated into product decisions

• Cluttered interface made navigation difficult and key features hard to find, made the app less engaging and user-friendly.

Without improving delivery workflows and roadmap clarity, the company risked falling behind competitors in an increasingly AI-driven market.

Key Results

I was responsible for driving the end-to-end delivery of AI-powered features while optimizing product workflows, delivered measurable improvements including:

• 20% market growth driven by AI-powered capabilities

• 3 AI-powered features successfully shipped, 6 critical bug fixes delivered

• Release cycles reduced from 6 months → 2 months

• Backlog optimized from 300 → 90 actionable tickets

• 35% improvement in customer satisfaction

• Optimized onboarding flow, reducing user setup time by 1h.

What I did

1.  Led User Research & Defined Product Requirements

I began by gathering insights from customers and internal stakeholders to understand workflow inefficiencies and unmet needs.:

• Conducted customer interviews, created user journey maps to visualize pain points,

• Translated insights into clear feature requirements with clear product requirement documents.

• Redesigned the onboarding flow to remove redundant steps and simplify navigation.

2.  Restructured the Product Roadmap

To accelerate delivery speed, I restructured the existing roadmap and backlogs.

• Audited and reviewed 300+ backlog items to identify duplicates, outdated tasks, and high-impact opportunities

• Prioritized backlog items into 90 structured Jira tickets with clear acceptance criteria

• Defined release scope and milestones to improve delivery predictability

• Introduced version control and performance tracking practices

• Implemented backlog grooming and sprint planning workflows

3. Strengthened Cross-Functional Collaboration

I worked closely with engineering and stakeholders to align priorities and improve workflows.

• Facilitated cross-functional planning sessions

• Defined product KPIs and success metrics

• Introduced workflow optimization and established regular feedback loops