Introduction
To improve Jobvite's employee referral program functionality and increase quality referrals and hiring success rates, we need to take a comprehensive look at the current system, user behavior, and market trends. I'll outline a strategic approach to enhance this critical aspect of talent acquisition.
I'll start by asking clarifying questions, then analyze user segments, identify pain points, generate solutions, evaluate and prioritize those solutions, and finally propose metrics for measuring success.
Step 1
Clarifying Questions (5 mins)
Why it matters: This helps us understand the scale of the problem and set appropriate improvement targets. Expected answer: The conversion rate is around 5%, which is below the industry average of 8-10%. Impact on approach: A low conversion rate would suggest focusing on improving referral quality and streamlining the hiring process.
Why it matters: This information helps us identify if the problem is more about participation or the quality of referrals. Expected answer: About 30% of employees have made at least one referral in the past year, down from 40% two years ago. Impact on approach: Declining participation would shift our focus towards improving program awareness and incentives.
Why it matters: Understanding the current differentiators helps us build on strengths and address weaknesses. Expected answer: Jobvite offers a tiered reward system, but it hasn't significantly outperformed traditional flat-rate bonuses. Impact on approach: This would suggest exploring more innovative incentive structures or focusing on non-monetary motivators.
Why it matters: This helps us align our solution with current market trends and employee expectations. Expected answer: Remote work has expanded the potential talent pool but made it harder for employees to gauge cultural fit. Impact on approach: We might need to focus on tools that help employees better assess and communicate cultural fit for remote candidates.
Let's take a quick minute to organize our thoughts before moving on to user segmentation.
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