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Company focus

ArcSoft
Product Improvement Medium Member-only

How can ArcSoft enhance its Perfect365 virtual makeup app to provide more personalized skincare recommendations?

Prepared by NextSprints

15 mins
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Feature Prioritization User Segmentation AI Integration Beauty Tech Artificial Intelligence Mobile Apps User Experience Product Improvement Personalization AI Beauty Tech
Product Management Improvement Question: Enhancing virtual makeup app with personalized skincare recommendations

Introduction

To enhance ArcSoft's Perfect365 virtual makeup app with more personalized skincare recommendations, we need to dive deep into user needs, current pain points, and potential technological advancements. I'll outline a comprehensive strategy to improve the app's skincare recommendation feature, focusing on personalization and user experience.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking Perfect365 might be primarily used by makeup enthusiasts seeking to experiment with different looks. Could you help me understand who our target users are and what their primary use cases for the app are?

Why it matters: Determines the focus of our personalization efforts Expected answer: Primarily young women aged 18-35 interested in makeup and skincare Impact on approach: Would tailor recommendations to this demographic's specific needs

  • Considering user behavior, I'm curious about how frequently users engage with the app and if there's a particular feature they use most often. Can you share any insights on user engagement patterns and popular features?

Why it matters: Helps identify opportunities for integrating skincare recommendations Expected answer: Daily usage, with virtual try-on being the most popular feature Impact on approach: Would focus on seamlessly integrating skincare recommendations into the most-used features

  • Regarding pain points and market position, I'm wondering about the main challenges users face when it comes to skincare recommendations in the app. What are the most common user complaints or requests related to skincare features?

Why it matters: Identifies specific areas for improvement in skincare recommendations Expected answer: Users find current recommendations too generic or not tailored to their skin type Impact on approach: Would prioritize developing a more sophisticated personalization algorithm

  • Considering the product lifecycle and company alignment, where does Perfect365 stand in terms of market share and what are the key growth objectives for the coming year?

Why it matters: Aligns our improvement strategy with overall business goals Expected answer: Strong market position, aiming to increase user retention and monetization Impact on approach: Would focus on features that drive engagement and potential premium offerings

Tip

At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.

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Updated Mar 29, 2025