Product Analytics Vision & Design Strategy
A no-code solution for tracking and analyzing user behavior across applications.
- Role - Product Designer (August 2022 - March 2023)
- Team - Lead Designer (Mrinmoy), Engineering Lead (Maya), Product Design Manager (Sherene), Product Managers (Nikunj & Jot)
Overview
Product Analytics was developed as a comprehensive solution for L&D managers and product managers to track and analyze user behavior without coding, enabling informed decision-making and improved user engagement.
Business Goal
Create a tool that simplifies dashboard setup, enables efficient data analysis, and facilitates effortless sharing of analytics reports aligned with business goals
Need for 'Whatfix Analytics'
Customers were spending significant time manually crafting insights and sharing them with stakeholders, slowing down decision-making and hindering improvement of employee processes.
Deep Dive into Problems
Frequent portal updates disrupt workflow analysis, making it difficult to diagnose issues, personalize solutions, and demonstrate Whatfix DAP value. Limited dashboard access complicates decision-making and team communication.
Strategy
Solution Space
- Feature Prioritization:
MDP Feature list
Affinity mapping of synthesized insights
Affinity mapping of synthesized insights
Affinity Mapping
Kano analysis
Kano analysis with internal PMs and L&D managers
Kano analysis with internal PMs and L&D managers
"How Might We" workshops for MDP (Minimum Desirable Product) scoping
"How Might We" workshops for MDP (Minimum Desirable Product) scoping
'Mobile First Approach'
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Product Design Vision:
Clarified where user behavior is tracked and analyzed.
Unified and contextual entry point for insights.
Removed 'swivel chair' work during investigations.
Tailored form factor for better issue resolution.
Built a scalable, consumer-grade UI for growing tools.
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Concept Prototypes:
Contextual insights panel on application pages
Application capture mode for tracking user paths
Minimized view of insights
Deep dive analytics for drop-off analysis
Impact
Learnings
Challenges
- Learning to set design vision and strategy
- Importance of considering business, product, and design goals
- Value of involving the development team early in the process
- Need for persuasive evidence when facing internal disagreements
- Previously limited creative freedom in the Guidance Analytics project
- Internal disagreements requiring evidence-based persuasion
- Balancing creativity with technical feasibility
What more I could have done ?
- Develop additional ways to track complex workflows
- Created cohort analysis tools for targeted content delivery
- Enhanced the visualization of user journey paths
