Scaling Pipeline From $2.2M → $9.7M
With AI-Driven Product Design
Transforming Informatica's Drift AI chatbot from an overlooked widget into a high-performing revenue driver for a billion-dollar enterprise
At Informatica, I managed and optimized the Drift AI Conversation Bot across the website. This chatbot served as the direct bridge between high-intent visitors and our Sales team—meaning its performance directly impacted trials, meetings, and revenue.
My role combined product design, AI conversation strategy, UX research, and growth experimentation to help transform the chatbot from an underutilized tool into a revenue-driving asset for the enterprise.
The Original Chatbot Wasn't Doing Its Job
The chatbot experience was creating friction where clarity was needed:
Visitors coming to the Pricing page were serious buyers, but the bot wasn't guiding them anywhere useful. That meant the business was missing out on qualified pipeline—right at the moment intent was highest.
Managing the Drift AI Chatbot Ecosystem
I led the end-to-end chatbot strategy and execution,
handling all aspects of the experience.
This included:
Pricing Bot Example
The redesigned bot offered clear, intent-driven options that helped visitors quickly connect with the right resources—driving higher conversion rates and better qualified leads.
Five-Part Strategy
Decode User Intent + Friction Points
I started by auditing transcripts, analytics, and Pricing-page patterns to understand what visitors needed and where they were getting stuck. Real users were asking for demos, pricing help, and product questions the bot wasn't prepared to answer.
Rebuild the Conversation Architecture
I redesigned the chatbot into a system that met users where they were. New paths included:
The goal: shorter paths, clearer choices, zero wasted time.
Use AI to Strengthen Microcopy
I used AI-assisted language modeling to generate and test microcopy that boosted clarity and reduced cognitive load. Small shifts made big differences:
"Would you like a quick, personalized demo?"
outperformed every variant
Constant Experimentation
I treated the chatbot like a living product. A/B tests, copy experiments, fallback logic, timing tests—every improvement was informed by data and real user behavior.
Tie Everything to Revenue
My KPIs were direct business drivers:
If a change didn't improve a growth outcome, it didn't ship.
Transformational Results
Trial Engagement
Improved clarity increased follow-through and demo requests
Sales Team Efficiency
More qualified conversations, fewer dead-end interactions
Leadership Endorsement
Results were so strong, leadership expanded these optimized flows to additional pages across the site
My Approach to Growth-Driven Product Design
This project demonstrates my approach to product design:
This project helped redesign a key revenue touchpoint
and contributed to the growth of a global business.
Future Vision with LLMs
If I were rebuilding this today, I'd layer in:
AI opens a new frontier for high-intent UX—and these are the experiences I love creating.
This case study proves something powerful:
AI product design isn't just about the technology—it's about understanding intent, removing friction, and designing for measurable business outcomes.
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Need someone who can transform AI touchpoints into revenue drivers?
If you're looking for a product designer who understands how to blend AI, UX, and growth strategy to drive measurable business outcomes, let's talk.
📩 andi@andixd.com