B2B SaaS Dashboard Design
Turn complex enterprise data into dashboards that actually make decisions easier. $6,999 fixed price. 4 weeks. Built for the way admins and power users actually work.
Most SaaS dashboards show everything and communicate nothing. The problem isn’t data — it’s hierarchy. This sprint redesigns your dashboard around how your users actually make decisions: what they need to see first, what they can ignore, and what should never require a support ticket.

Why 4 weeks is now possible
❌ The old way (16+ weeks, $18,000–30,000):
- 3 weeks: Stakeholder interviews and requirements gathering
- 4 weeks: Manual component library creation
- 3 weeks: Information architecture and wireframes
- 4 weeks: High-fidelity design iterations
- 2 weeks: Admin/power user testing cycles
- Total: 16+ weeks, $18,000-30,000
✅ The Poplab way (4 weeks, $6,999):
- AI-powered analytics audit (instant insights)
- AI component generation for dashboard libraries
- Synthetic admin testing (no scheduling conflicts with busy enterprise users)
- Rapid IA validation with AI feedback
- Total: 4 weeks, $6,999
AI didn’t just speed this up — it made the old dashboard timeline indefensible.
Who this is for
Right fit if you’re:
- A B2B SaaS founder scaling past 50 enterprise users and watching support tickets climb
- A product team rebuilding a legacy admin panel that’s actively frustrating customers and stalling deals
- A company where dashboard complexity is the reason prospects hesitate or users churn
- A Series A/B product that needs enterprise-grade polish before the next sales cycle or funding round

The problem (and what it costs you)
Signs your dashboard is costing you:
- Shows every data point but makes it hard to find what actually matters
- Requires 10+ support articles just to explain basic workflows
- Forces power users to export to Excel because the UI isn’t good enough
- Loses deals because prospects see the admin experience and walk away
Traditional agencies charge $18,000–30,000 and take 16+ weeks for the same scope. We do it in 4 weeks for $6,999 — and you get a dashboard your enterprise users can actually use without a support article.
What you get
B2B SaaS Dashboard Design — $6,999 · 4 weeks · Fixed scope
- User role mapping & permissions architecture (admin, manager, viewer, etc.)
- AI-powered information architecture audit: what data matters, what’s noise
- Dashboard wireframes + high-fidelity design for 3-5 core screens
- Data visualization strategy: charts, tables, filters that reveal insights
- Navigation patterns & interaction design for complex workflows
- AI-generated component library for consistent dashboard UI (tables, cards, modals, etc.)
- Onboarding flow design: from invite to first success
- Synthetic admin testing with AI-generated enterprise user scenarios
- Mobile/responsive considerations for on-the-go admin access
- Developer handoff with Figma components and interaction specs
No 8-week component builds. No 3-week scheduling cycles to find one available admin for testing. You get production-ready dashboards that match how your users actually think — validated and ready to ship in 4 weeks.

Process (4 weeks)
Week 1 — Rapid Discovery & IA (Days 1-7)
- Day 1-2: Kickoff + data model analysis + current dashboard friction audit
- Day 3-4: Stakeholder interviews with AI-powered insight synthesis
- Day 5-6: User role matrix + permissions architecture
- Day 7: Information architecture for complex data + review session
Week 2 — Design & Component Generation (Days 8-14)
- Day 8-10: Wireframes for 3-5 key dashboard screens
- Day 11-12: High-fidelity dashboard design with data visualizations
- Day 13-14: AI-accelerated component library generation (20-30 elements)
Week 3 — Refinement & Testing (Days 15-21)
- Day 15-17: Interaction states (loading, empty, errors, filters)
- Day 18-19: Onboarding flow design
- Day 20-21: Synthetic admin testing with AI-generated enterprise scenarios
Week 4 — Handoff & Polish (Days 22-28)
- Day 22-24: Mobile/responsive layout considerations
- Day 25-26: Developer handoff documentation + Figma component specs
- Day 27-28: Loom walkthrough + implementation Q&A call
- Day 28: enterprise-ready.
Outcomes you can expect
Based on enterprise work including Mimecast, Maistro, and Italiaonline:
- 91% task success rate (vs. 60-70% industry average for complex dashboards)
- 30-40% reduction in dashboard-related support tickets within 60 days
- 75% faster delivery vs. traditional agencies (4 weeks vs 16+ weeks)
- 15-25 point increase in admin NPS within 60 days of launch
- Faster onboarding: new admins reach productivity in days, not weeks
- Stronger enterprise sales: prospects see polish and trust your product
- 65% cost savings vs. traditional agencies ($6,999 vs $18,000–30,000)
Why this speed is only possible now
What’s changed:
- AI component generation: Dashboard libraries in days, not weeks
- Synthetic admin testing: AI-generated enterprise user personas (no scheduling delays)
- AI-powered analytics audit: Instant insights from your dashboard data
- Rapid IA validation: AI feedback on information architecture
- Smart data visualization: AI-suggested chart types based on data patterns
Why traditional agencies can’t catch up:
- They manually build every component (4-6 weeks)
- They wait weeks to schedule busy enterprise admins for testing
- They use outdated processes built for pre-AI workflows
- They charge for time, not outcomes
Enterprise quality. Startup timeline. No compromise.
Pricing, timeline, and terms
- Price: $6,999 (excl. VAT)
- Timeline: 4 weeks from kickoff to handoff
- Payment: 50% to reserve the slot, 50% on delivery of final designs and documentation
- Availability: 2 dashboard design slots per month — once filled, next availability moves to the following month
- Value: $18,000–30,000 and 16+ weeks with a traditional agency — or $6,999 and 4 weeks with Poplab
Ready to turn your dashboard into a competitive advantage?
Book a free 20-minute fit call. If your dashboard is blocking sales, stalling onboarding, or generating support tickets you shouldn’t be handling — this is the fastest fix available.










