Eclipse
2024
Helping event organizers get back to what they love
Designing an intelligence layer that automates participant support for event organizers at haku.
Role
Lead Product Designer
Timeline
1 year
Team
haku Product Trio
Platform
Software Application
Success Metrics
What success looked like
Before designing , we defined how we would measure success. Our initial goal was roughly 30% time to insight, a task completion of 80% and 10 self-serve organisers adopting the agent, which would represent a meaningful reduction in manual support workload.
Time to Insight
30%
Find answers to event performance questions , faster reports
Task Completion
80%
Complete key workflows through AI without needing workarounds.
Insights to Action
40%
Signal investigations lead to relevant action.
Solution Highlights
Intelligence Hub
After identifying patterns of inconsistency and inefficiency, I worked with the team to define focused goals that would reduce friction, speed up delivery, and unify the product visually.
Proactive Signals
The no-code workflow builder, with triggers, intelligent agent steps, loops and conditions
Flow: “Results without the busywork
The no-code workflow builder, with triggers, intelligent agent steps, loops and conditions
Intelligence Chat
Asking “Are registrations on pace to reach our goal?” and getting the growth drivers back
CASE STUDY IN PROGRESS
The story continues.
The solution is here. The story behind it is on its way.
I’m putting together the research, decisions, and learnings
that shaped haku Intelligence. Check back soon.
NEXT CHAPTER / RESEARCH & PROCESS