Introduction
The recent 15% drop in Phreesia's patient check-in kiosk usage across partner clinics is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user experience and adoption. Expected answer: Yes, a software update was rolled out three weeks ago. Impact on approach: If confirmed, we'd focus on the update's features and potential bugs.
Why it matters: Different age groups may have varying comfort levels with technology. Expected answer: No significant changes in patient demographics. Impact on approach: If unchanged, we'd look more closely at the kiosk system itself rather than user factors.
Why it matters: Staff play a crucial role in guiding patients and promoting kiosk use. Expected answer: Some clinics have reported reduced staff availability. Impact on approach: If confirmed, we'd investigate the impact of staff support on kiosk usage.
Why it matters: New alternatives could be drawing users away from kiosks. Expected answer: A mobile check-in pilot was launched in some clinics. Impact on approach: If true, we'd analyze the relationship between mobile adoption and kiosk usage decline.
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