Mock Product Sense Interview – Fitness Tracking App

Explore this mock Product Sense interview to understand how to approach similar questions and structure answers effectively.

Step 1: Repeating the Problem Statement

An ideal response would start with a clear, concise restatement:

  • “So, we’re looking to improve the experience for users of a fitness tracking app, with a focus on increasing engagement and helping users achieve their fitness goals more effectively.”

Step 2: Clarifying Questions

Example questions might include:

  • “What kind of fitness tracking app is it? Does it focus on specific activities, like running or cycling?”
  • “What user segment are we aiming to improve the experience for—beginners, regular users, or high-performing athletes?”

Step 3: Defining the Mission

  • “Our mission would be to empower users to lead healthier lifestyles by helping them set, track, and achieve realistic fitness goals while staying motivated.”

Step 4: Identifying User Segments and Pain Points

Example questions might include:

  • User segments:
    • Beginners: Often find it hard to stay motivated or may feel overwhelmed.
    • Regular Users: Need variation and advanced tracking features.
    • Athletes: Look for high-accuracy metrics, progress insights, and social competition.
  • Pain points:
    • “For beginners, it’s motivation and understanding how to start. For regular users, it’s keeping routines fresh and engaging. For athletes, it’s having detailed, competitive tracking.”

Step 5: Prioritizing Solutions

  • “Let’s focus on solutions that enhance motivation for beginners and bring advanced metrics to regular users, while creating a social or competitive feature for athletes.”

Step 6: Exploring the Solution

Mock solution outline:

  • “For beginners, let’s add a ‘Daily Motivation’ feature that suggests small achievable goals. Regular users could benefit from customizable workout plans, and athletes would have leaderboards or ‘challenge’ modes.”

Step 7: Discussing Risks and Mitigations

  • “Risks include feature overload and potential privacy concerns with social sharing. We could address this by segmenting features and keeping data sharing optional.”