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Product Management Root Cause Analysis Question: Investigating increased hiring time for developers on OfferZen platform

Why has the average time to hire for software developers on OfferZen increased from 21 days to 35 days over the past two months?

Data Analysis Problem Solving Strategic Thinking Tech Recruitment HR Technology Software Development
Product Strategy Data Analysis Root Cause Analysis Hiring Metrics Tech Recruitment

Introduction

The increase in average time to hire for software developers on OfferZen from 21 to 35 days over the past two months is a concerning trend that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our platform and users.

I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into our product, metrics, and user journey. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been a recent product change. Have we implemented any significant updates to the hiring process or platform in the last 2-3 months?

Why it matters: Product changes often have unintended consequences on key metrics. Expected answer: Yes, we rolled out a new matching algorithm. Impact on approach: If true, I'd focus on analyzing the algorithm's impact on match quality and hiring speed.

  • Considering the metric itself, I'm curious about its components. Has there been any change in how we calculate or track the "time to hire" metric?

Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: No changes to the metric calculation. Impact on approach: If there were changes, I'd need to recalibrate our baseline and adjust our analysis accordingly.

  • Given the significant increase, I'm wondering about user segments. Are we seeing this increase across all types of companies and developers, or is it more pronounced in specific segments?

Why it matters: Helps identify if this is a systemic issue or limited to certain user groups. Expected answer: The increase is more significant for senior developers and larger companies. Impact on approach: I'd focus on understanding the unique challenges these segments face in the hiring process.

  • Considering external factors, I'm curious about market conditions. Have there been any notable changes in the tech job market over the past few months?

Why it matters: External market forces can significantly impact hiring trends. Expected answer: There's been a slight downturn in tech hiring overall. Impact on approach: I'd need to factor in market conditions and potentially adjust our expectations for "normal" hiring times.

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