The Enterprise Design Trap
Profit.co builds performance management software for enterprise teams. Think OKRs, employee reviews, goal tracking—the workflows that keep companies aligned.
Complex software. Multiple user personas. Endless edge cases.
Their challenge? Making enterprise software that doesn't feel like enterprise software. But every attempt to simplify their Performance Management module triggered an avalanche of revisions. Stakeholder feedback contradicted user needs. Design principles clashed with technical constraints.
The result: 5-6 review cycles per feature. Weeks of back-and-forth. Development teams waiting. Customers complaining about unintuitive navigation and byzantine admin settings.
"Adhering to UX laws in practice was harder than we anticipated," the Profit.co team admits. "Theory is one thing. Making it work with 15 different stakeholder opinions is another."
The Figr Intervention
Instead of hiring more designers, Profit.co tried something different.
They brought in Figr - first AI for design expertise and acceleration developement.
Figr’s the AI platform changed how they work permanently. Figr AI helped them tackle the immediate crisis: untangling their Performance Management app's UX.
"The AI quantifies our ideation process with actual jobs-to-be-done," explains the team. "Every design comes with supporting rationale. We're not defending opinions anymore, we're presenting evidence."
The Performance Management Overhaul
The Problem:Customers literally called support to navigate admin settings. User journeys felt like solving a puzzle blindfolded. Power users created workaround documents.
The Process:Figr mapped every user persona's journey. Identified where intuition broke down. Found patterns from successful enterprise apps. Then redesigned the entire flow—not just the screens, but the logic beneath them.
The Proof:Early customer feedback included phrases they'd never heard before: "intuitive," "makes sense," "finally."
Real Numbers, Real Impact
Before Figr:
- Average feature: 5-6 design review cycles
- Design to development handoff: 10-12 days
- Stakeholder alignment meetings: 3-4 per feature
- Customer satisfaction with UX: "Needs improvement"
After Figr:
- Average feature: 3 review cycles
- Design to development handoff: 5-6 days
- Stakeholder alignment meetings: 1-2 per feature
- Customer satisfaction with UX: "Highly positive"
The compound effect? Features that used to take 6 weeks from concept to code now take 4. That's 25% faster time-to-market across their entire product roadmap.
The Multiplier Effect
"Figr's outside-in perspective revealed blind spots we didn't know we had," notes the team. "They saw problems we'd normalized. Suggested patterns we'd never considered."
But it's not just about fresh eyes. The AI platform remembers every decision, learns their design system, and applies successful patterns automatically.
Monday problem. Tuesday prototype with rationale. Wednesday stakeholder buy-in. Thursday development handoff.
No more defending. Just shipping.
Beyond the Tool: A New Way of Working
The transformation went deeper than metrics.
"We've fundamentally changed how we approach design," the Profit.co team reflects. "Instead of starting with what looks good, we start with what users need to accomplish. The AI helps us validate those needs against actual patterns that work."
Every design now comes with:
- User journey mapping
- Jobs-to-be-done framework
- Pattern references from successful apps
- Clear rationale for every decision
Stakeholder meetings transformed from opinion battles to evidence reviews.
The Verdict
"Working with Figr has been transformative for our product development process. Their AI-driven insights have empowered us to make informed design decisions, leading to better products and happier users. For product managers seeking to enhance their design processes and user engagement, I highly recommend exploring Figr's platform and services."
— Product Team, Profit.co
The Bottom Line
While other teams are stuck in their fifth revision, Profit.co is already getting user feedback. While others argue about button placement, Profit.co has data. While others hope their design works, Profit.co knows it will.
The difference? They stopped guessing and started knowing.