How can SHL improve its personality assessments to better predict long-term job performance?

Introduction

To improve SHL's personality assessments for better long-term job performance prediction, we need to analyze the current product, identify key pain points, and develop innovative solutions. I'll approach this by examining user segments, analyzing pain points, generating solutions, and proposing metrics for success.

Step 1

Clarifying Questions

• Looking at the product context, I'm thinking SHL might be facing challenges with the accuracy of its long-term predictions. Could you share any data on the current correlation between assessment results and actual job performance over time?

Why it matters: This helps us understand the baseline effectiveness and areas for improvement. Expected answer: Moderate correlation (e.g., r = 0.4) for 1-2 years, dropping significantly after that. Impact on approach: Would focus on improving long-term prediction accuracy and introducing periodic re-assessments.

• Considering user behavior, I'm curious about how frequently companies are using these assessments in their hiring process. What percentage of clients use SHL assessments for all hires versus only for specific roles or levels?

Why it matters: Determines if we need to focus on expanding use cases or improving existing ones. Expected answer: 60% use for all hires, 40% for specific roles/levels. Impact on approach: Would prioritize improvements that benefit a wide range of job roles.

• Thinking about the product lifecycle, where does SHL stand in terms of market share and growth rate compared to competitors? Are we looking to defend our position or aggressively expand?

Why it matters: Influences whether we focus on differentiation or scaling existing features. Expected answer: Market leader with 30% share, but facing increased competition and slowing growth. Impact on approach: Would emphasize innovative features to maintain leadership and reignite growth.

• Regarding company alignment, how does improving long-term prediction accuracy fit into SHL's broader strategic goals? Are there any specific business metrics we're aiming to impact?

Why it matters: Ensures our product improvements align with overall company objectives. Expected answer: Strategic priority to increase customer retention and expand into workforce planning services. Impact on approach: Would focus on features that demonstrate long-term value to clients and open new revenue streams.