Introduction
Enhancing Apna's skill assessment tools to provide more accurate evaluations for employers is a critical challenge that directly impacts the platform's value proposition. As we dive into this product improvement case, we'll explore the current state of Apna's assessment tools, identify key pain points, and develop innovative solutions to enhance accuracy and reliability for employers.
Step 1
Clarifying Questions (5 mins)
Why it matters: This helps us understand the potential impact and urgency of improvements. Expected answer: Around 60% of employers use the assessments regularly. Impact on approach: A high adoption rate would focus on refinement, while low adoption might require more fundamental changes.
Why it matters: This informs whether we need to expand the range of assessments or focus on improving existing ones. Expected answer: Apna offers assessments for 50 skill categories, with a focus on blue-collar and entry-level white-collar jobs. Impact on approach: A limited range might suggest expanding categories, while a broad range could indicate a need for depth and accuracy improvements.
Why it matters: Understanding the current feedback system helps identify gaps in data collection and opportunities for improvement. Expected answer: There's a basic rating system, but no structured feedback mechanism for detailed input. Impact on approach: A lack of comprehensive feedback would suggest implementing a more robust system to gather actionable data.
Why it matters: This helps us benchmark our improvements and set appropriate goals. Expected answer: Apna is perceived as moderately accurate, with room for improvement compared to some competitors. Impact on approach: If lagging behind, we might need more aggressive improvements; if leading, we could focus on maintaining the edge.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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