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PM Interviews - Product Thinking & Design (Part - 1)

  • Aug 09, 2025
  • Product Management

How would you improve the onboarding experience for a food delivery app like Zomato?

To improve the onboarding experience for a food delivery app like Zomato, I would focus on reducing friction, increasing personalization, and building trust early. First, simplify the sign-up process using OTP autofill, Google/Apple login, and location auto-detection to minimize user effort. Next, introduce a quick preference survey (e.g., veg/non-veg, cuisines, dietary needs) to personalize the homepage with relevant restaurants and offers. Use social proof—like “Top-rated near you” or “5M+ happy customers”—to build credibility. A short, optional onboarding tour can guide users through key features like filters, wallet, and order tracking. Finally, offer a welcome coupon or reward to encourage the first order and create a sense of value. Throughout, ensure the interface is clean, responsive, and multilingual to cater to Tier 2 and Tier 3 users. Measure success via onboarding completion rate, first order conversion, and D7 retention. A/B test onboarding flows to continually refine user experience.

Design a product for job discovery for blue collar workers.

Designing a job discovery platform for blue collar workers requires addressing the needs of both sides, workers and employers.

Pain points for workers include:

  • Lack of access to formal job boards
  • Language and literacy barriers
  • Limited digital skills
  • Unclear wage structures
  • Mistrust of job postings

For employers:

  • High attrition
  • Low verification of candidates
  • Poor matching efficiency

The solution is a mobile-first, multilingual platform with a low-tech interface. Workers create profiles using Aadhaar-linked verification, add voice intros, and choose preferences like job type, location, and shift timing. Employers can post verified listings with transparent salary, job role, and location info. The app supports WhatsApp-based job alerts, one-tap apply, and assisted chat flows to ensure usability for low-literate users.

The app should:

  • Show jobs near the worker’s location using GPS
  • Clearly list skills required for each job
  • Enable one-tap apply and WhatsApp-based job alerts
  • Offer chat-based guidance for job search navigation

Employers get tools to post verified listings with transparent pay, role expectations, and accommodation. A review and rating system ensures accountability. Monetization can be employer-led. Success is measured via match rate, retention, and time-to-hire.

Identify and prioritize features for a new edtech platform targeted at college students.

College students using edtech platforms seek more than just academic content—they value flexibility, career support, and peer interaction. To design an effective product, it’s essential to identify features that address their evolving needs and prioritize them based on impact and feasibility. Below is a structured approach to identifying and prioritizing such features. Some of the identified features are shown mentioned below:

Academic Support

 

  • Live classes and recorded lectures
  • Doubt resolution (chat/forum/video)
  • Exam preparation modules

 

Skill Development

 

  • Curated short courses (tech, soft skills)
  • Certification tracking
  • Peer learning groups

 

Career Readiness

 

  • Resume builder and mock interview practice
  • Internship/job board integration
  • Career mentorship

 

Engagement & Gamification

 

  • Leaderboards and badges
  • Progress dashboards
  • Social sharing of achievements

We can use the RICE prioritization framework as shown below : 

Feature

R

I

C

E

Priority

Doubt-solving chat

High

High

High

Low

Very High

Live/recorded classes

High

High

Medium

Medium

High

Skill courses with certs

Medium

High

Medium

Medium

High

Internship/job board

Medium

Medium

Medium

High

Medium

Gamified leaderboard

Low

Medium

High

Low

Medium-Low

Top 3 Features to Launch First would be

  1. Doubt-solving chat or forum – critical for academic support and scalable.
  2. Live + recorded classes – offers flexible learning and broad reach.
  3. Skill-based short courses – directly ties to student aspirations beyond exams.

Identify and prioritize features for a new edtech platform targeted at college students.

Spotify already has a well established podcast feature. I would careful track user behavior and business outcomes. To ensure product-market fit and guide future iterations, it’s important to measure adoption, engagement, retention, and monetization. Below is a structured breakdown of key metrics that would help evaluate the success of the feature.

Adoption Metrics

  • Feature Activation Rate: % of users who engage with the podcast tab or feature within the first week.
  • First-Time Listeners: Number of users listening to a podcast episode for the first time.
  • Downloads or Subscriptions per Episode: Indicates early interest.

Engagement Metrics

  • Average Listen Time per Episode/User: Measures depth of consumption.
  • Completion Rate: % of episodes fully listened to.
  • Playback Frequency: Sessions per user per week.
  • Skips and Drop-off Points: To identify content or UI issues.

Retention Metrics

  • D7, D30 Retention of Podcast Users: Are they coming back?
  • Repeat Listens per Show/User: Stickiness of content.

Monetization / Business Impact

  • Ad Impressions and Revenue per Podcast Listener
  • Impact on Premium Conversions (if exclusive content is behind paywall)

Qualitative Feedback

  • App Store Reviews mentioning Podcasts
  • NPS segmented by podcast users
  • User survey on discoverability and content quality

These metrics help optimize product, content strategy, and monetization models iteratively.

PM Interview Preparation Series (Parts 1 to 5)

PM Interviews – Product Strategy & Vision (Part – 2)

PM Interviews – User Centric Approach & UX (Part – 3)

PM Interviews – Data Driven Decision Making (Part – 4)

PM Interviews – Execution & Collaboration (Part – 5)

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