Introduction
InterviewBit is one of India's best-known coding interview practice platforms, and it sits at the top of Scaler's funnel. Students at tier-1 colleges use it well: they know which problems matter and practise consistently. Students at tier-2 and tier-3 colleges often sign up with enthusiasm, solve a handful of problems, get stuck on a medium-level question and quietly drop off. The prompt asks how we would improve InterviewBit for students from tier-2 and tier-3 colleges. I'll clarify the goal, segment users, map the practice journey to find pain points, generate solutions, prioritise them with RICE and set metrics.
Step 1
Clarifying Questions (5 mins)
- Hypothetical answer: Learning outcomes and engagement first; conversion follows from students who succeed.
- Impact: The primary metric is sustained practice and skill progress.
- Hypothetical answer: The core problem-practice track (DSA problems organised by topic).
- Impact: We leave mock interviews and content articles out of scope.
- Hypothetical answer: Among tier-2 and tier-3 students, about 65% stop practising within two weeks of signing up, compared with 45% for tier-1 students.
- Impact: Early retention is the target.
- Hypothetical answer: Must work on low-end Android phones and patchy mobile data.
- Impact: Lightweight solutions, mobile-first.
Say the number you are trying to move. "Reduce two-week drop-off for tier-2 and tier-3 students from 65% to 50%" is far stronger than "improve engagement".
Practice similar questions
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