Why has the average time to onboard new brands onto Grin's influencer marketing software increased from 2 days to 5 days this quarter?

Introduction

The increase in average onboarding time for new brands on Grin's influencer marketing software from 2 to 5 days this quarter is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal fluctuations. Has there been any change in the types or sizes of brands onboarding recently?

Why it matters: Seasonal changes could explain the increase and inform our solution approach. Expected answer: No significant changes in brand types or sizes. Impact on approach: If confirmed, we'd focus more on internal factors.

• Considering potential system changes, have there been any recent updates to the onboarding workflow or related features?

Why it matters: Recent changes could directly impact onboarding time. Expected answer: A minor update was rolled out last month. Impact on approach: If true, we'd prioritize investigating this update's effects.

• Thinking about user behavior, has there been any shift in how brands are engaging with the onboarding process?

Why it matters: Changes in user interaction could indicate UX issues or changing needs. Expected answer: No significant changes observed in user behavior. Impact on approach: If confirmed, we'd focus more on technical or process-related issues.

• Considering data integrity, has there been any change in how onboarding time is measured or reported?

Why it matters: Ensures we're comparing apples to apples across quarters. Expected answer: No changes in measurement or reporting methods. Impact on approach: If confirmed, we can trust the data and focus on actual performance issues.