Why did the average time to first job placement increase by 30 days for Lambda School's Data Science graduates in the past 6 months?

Introduction

The recent 30-day increase in average time to first job placement for Lambda School's Data Science graduates is a concerning trend that requires immediate attention. This issue directly impacts the school's core value proposition and could have far-reaching consequences for student satisfaction, enrollment, and the institution's reputation. I'll approach this problem systematically, examining both internal and external factors to identify the root cause and develop effective solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this 30-day increase been consistent across all months, or is it more pronounced during certain periods?

Why it matters: Seasonal variations could indicate external market forces rather than internal issues. Expected answer: The increase has been consistent across all months. Impact on approach: If seasonal, we'd focus on market-related solutions; if consistent, we'd look more closely at internal factors.

• Considering potential changes in the curriculum, have there been any significant updates to the Data Science program in the past year?

Why it matters: Curriculum changes could affect graduate preparedness and job market fit. Expected answer: There have been minor updates, but no major overhauls. Impact on approach: Major changes would prompt a curriculum review; minor changes suggest looking elsewhere for the root cause.

• Thinking about the job market, has there been any noticeable shift in the types of roles or skills employers are seeking for data science positions?

Why it matters: Misalignment between curriculum and market demands could explain longer placement times. Expected answer: Some emerging technologies have gained prominence in job listings. Impact on approach: If significant shifts are identified, we'd focus on curriculum alignment and industry partnerships.

• Reflecting on student demographics, has there been any change in the composition of the student body or their prior experience levels?

Why it matters: Changes in student backgrounds could affect job readiness and placement success. Expected answer: The student demographics have remained relatively stable. Impact on approach: Significant changes would necessitate adjustments in admission criteria or additional support programs.