Introduction
The 30% drop in new sign-ups for Indigo's Plum Plus loyalty program during the holiday season is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the program's success.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate 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)
Why it matters: Marketing changes could directly impact sign-ups. Expected answer: Yes, we reduced our marketing spend by 20%. Impact on approach: If confirmed, I'd focus on marketing effectiveness and reach.
Why it matters: Different demographics may respond differently to the program. Expected answer: We've seen a decrease in sign-ups from the 25-34 age group. Impact on approach: I'd investigate factors specifically affecting this age group.
Why it matters: Competitive pressure could be drawing potential customers away. Expected answer: Amazon launched a new rewards program two months ago. Impact on approach: I'd analyze our value proposition compared to competitors.
Why it matters: Technical problems could directly impact sign-up rates. Expected answer: We had a few minor outages, but nothing significant. Impact on approach: I'd still investigate the impact of these outages on user experience.
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