Ask Klue
Designing an AI-powered conversational assistant to make competitive intelligence instantly accessible for every team. Ask Klue is an AI-driven chat assistant that enables users to ask questions about competitors, products, and market trends, surfacing insights from across Klue’s intelligence platform.
ML & Insights Team
Why.
Before Ask Klue, teams struggled to find timely answers to competitive questions buried within decks, reports, and scattered data. Sales reps, marketers, and executives often wasted valuable time searching for information or waiting for enablement teams to respond. The business goal was to make competitive intelligence as easy to access as asking a question, empowering everyone to make informed decisions, fast. Ask Klue was envisioned to break down these barriers, delivering instant, conversational access to trusted insights and freeing up enablement teams to focus on higher-value work.
What.
The initial concept was a chat-based interface that could understand natural language questions and return relevant, sourced answers from Klue’s knowledge base. My role was to translate this vision into a usable, trustworthy product.
Key design challenges and solutions included:
- Trust & Transparency: Designed responses to always cite sources, highlight answer confidence, and offer links to original documents.
- Conversational UI: Prototyped flows for both quick Q&A and deeper follow-up, ensuring users could clarify, drill down, or pivot topics seamlessly.
- Multi-persona Support: Worked with stakeholders to prioritize high-impact use cases and tailored the assistant’s tone and answer formats accordingly.
- User Validation: Ran usability tests. Feedback highlighted the importance of speed, clarity, and the ability to see “how” answers were generated. Iterations focused on surfacing key facts up front, with expandable details for those who wanted to dig deeper.
Impact.
After launch, Ask Klue quickly became a go-to tool for competitive questions. Early usage data showed increased engagement, with sales teams especially relying on it for real-time answers during calls and deal cycles.