Blueberry Social

Turning chaotic chatter into warm, on brand conversation

I worked in a team of 5 to design Blueberry Social to help eCommerce brands engage customers faster and more authentically. By combining AI suggestions, brand voice, and automation, the tool boosted efficiency and raised customer satisfaction from 3 to 5.

Role:

  • Research Lead

  • Usability Testing Lead

  • Design ideation and dashboard

Duration:

  • 10 weeks

Tools:

  • Figma & Plugins

  • v0 (AI prototyping/ideation)

Dashboard Layouts.png
1. Change Voice (Main) - Keiko.png
Inbox.png
1. Change Voice (Main).png

Methodology

30 minute moderated user interviews and usability tests:

  • Users experience confusion when they landed on the Inbox page - we made important functions more clear

  • Initial trust in the AI and automation varies - flexibility of user control and transparency are emphasized

  • Changes made after every usability test to incorporate feedback and tested again in an iterative cycle

Results

We went from a detractor to a promoter and improved the:

  • Customer satisfaction score: 3/5 to 5/5 by final iteration

  • Ease of use: 5/7 to 7/7 by final iteration

Next Steps

In the span of 5 weeks, we were not able to tackle everything we wanted. Next steps for this product include:

  • Refining the dashboard to include data that users find valuable

  • Advanced message filtering and functions for power users

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