AISA: AI Sentiment Assistant

About the project

Goal: The AI Sentiment Assistant (AISA) was developed to enhance interaction with the Customer Listening Platform (CLP). By leveraging artificial intelligence, AISA provides an intuitive way for users to access key customer insights, enabling faster and more confident decision-making.

Motivation: The CLP was designed to present CSAT, CES, NPS scores, and customer verbatim, but was underutilized due to difficulties in finding and interpreting data. With limited resources for a complete redesign, AISA offered a low-effort solution to boost usability and engagement.

Results/Improvement: The implementation of AISA led to a notable increase in CLP engagement, reviving the platform without major development efforts. The assistant proactively surfaces relevant data and enables intuitive navigation, making it easier for users to prioritize improvements to the SPARK platform.

AISA Case Study - Title slide showing the Artificial Intelligent Sentiment Assistant for the Customer Listening Platform
AISA Project Timeline - 6 weeks program about utilizing generative AI within the design process
AISA AI Workflow Structure - Overview of the AI workflow integration process
AISA Discovery Phase - Journey start and value proposition
AISA Problem Space - Issues addressed by the AI Sentiment Assistant
AISA Solution Space - Features and benefits of the AI Sentiment Assistant
AISA Challenges - Goals, challenges, and permissions considerations
AISA Scope - Project boundaries and focus areas
AISA AI Workflow Integration - Explore phase highlighting AI tools exploration
AISA Explore Phase - Testing GPT models, brainstorming features, and experimenting with image generation tools
Very First Iterations - Initial character designs for the AI assistant
AI Workflow Integration - Process flow showing Discover, Explore, Ideate, Design, and Prototype stages
AI Core Intents - Three core intents: Enrich interactions, Recommend with confidence, and Anticipate disruptions
Features - Detailed breakdown of features organized by the three core intents
Impact/Effort Score - Matrix showing feature prioritization based on impact and effort
AISA Data Sources - Comprehensive overview of public, private, and personal data sources with current state and requirements
AISA Information Architecture - Detailed layout of dashboard components including feedback explorer, trends & insights, and personalization features
AISA AI Workflow Integration - Design & visuals phase
AISA Visual and Voice Design - Design principles for AISA's appearance and communication
AISA Alerts - Alert types and notification system design
AISA Continued Iterations - Further refinement of the assistant design
AISA Design - Customer Listening Platform engagement enhancements
AISA AI Workflow Integration - Prototype phase
AISA Takeaways - Key learnings and insights from the project