Product Management Process & Case Studies
The process and case studies below demonstrate my capabilities with representative products and features. While these examples provide a snapshot of my work, they represent only a fraction of my knowledge and potential contributions.
Product Management Process
The process outlines the methods, frameworks and tools I frequently leverage for the product development lifecycle at work
01
Ideation
Focus on deepening customer behavior and develop insights through:
- regular customer interviews,
- customer feedback,
- understanding competitive landscape,
- mapping customer journeys, or frame empathy maps,
- brainstorming across teams with design thinking techniques and digital collaboration tools,
- classifying pain points,
- and quantifying impact using analytics
02
Research & Validate
Spearhead alignment and documentation on the current and desired state qualitatively and quantitatively with the relevant teams. It is needed for:
- defining the accurate problem,
- desired outcomes through data-driven insights,
- scoping customer needs, goals, and success metrics (positive and guardrail metrics).
- design and run experimentation in the absence of the current user journey or when introducing new workflows.
03
Design & Dev
Collaborate cross-funtionally with UX Design, Program, and Engineering and several other teams to build the solution and hash out roadmap. . It involves:
- documenting customer-centric solution scope,
- summarizing insights developed through experimentation
- map use cases with prioritization and timelines,
- and communicate the future state and progress to stakeholders.
04
Launch
Emphasize on carefully introducing the new feature or product to the market through:
- cross-functional coordination for successful rollout,
- creating market awareness
- driving user adoption
- marketing and communication planning
- sales and support preparation
- performance tracking setup
- establishing feedback mechanisms
Once the feature has been successfully rolled out, conducting post-launch quantitative and qualitative analysis, running retrospectives with cross-functional teams, and documenting learnings for iterative improvements is essential part of the development cycle.
Case Studies
Flying Taxi by Uber
This project aligns customers' needs with Flying Uber's growth vision, presenting data-driven recommendations based of analysis built using public datasources available on DS sites like Kaggle and Udacity. The findings aim to provide actionable insights for Flying Uber's continued market success.
Job Listings on LinkedIn
This proposal outlines opportunities to enhance the job listing experience for mid-career professionals on LinkedIn, addressing current limitations and suggesting targeted improvements.
Just Fun (At or Outside Work)
