B2B SaaS Dashboard Design
Series A/B · $6,999 · 4 Weeks · Fixed Scope
Your dashboard shows everything. It communicates nothing.
The problem isn’t data — it’s hierarchy. When admins can’t find what matters without a support article, when power users export to Excel because the UI won’t cooperate, and when enterprise prospects see the admin panel and quietly walk away — you have a dashboard problem that’s directly costing revenue.
This sprint redesigns your dashboard around how your users actually make decisions, not how your data model is structured.
This is for you if
- You’re scaling past 50 enterprise users and watching dashboard-related support tickets climb every month
- Your legacy admin panel is frustrating customers, stalling deals, or actively blocking onboarding for new accounts
- You’re heading into a sales cycle or funding round and the product needs enterprise-grade polish — fast
What you get
| Deliverable | Why it matters |
|---|---|
| User role mapping + permissions architecture | Admin, manager, viewer — the structure that makes complex dashboards navigable without a manual |
| AI-powered information architecture audit | Separates what data matters from what’s noise before a single screen is designed |
| High-fidelity design for 3–5 core dashboard screens | Built around how users actually make decisions, not how the database is organized |
| Data visualization strategy | Charts, tables, and filters that reveal insights — not just render numbers |
| Navigation + interaction design for complex workflows | The patterns that let power users move fast without making basic users feel lost |
| AI-generated component library (20–30 elements) | Tables, cards, modals, filters — consistent UI your engineers extend without guesswork |
| Onboarding flow design | New admins reach productivity in days, not after three support calls |
| Synthetic admin testing (AI-generated enterprise personas) | No scheduling conflicts with busy enterprise users — validation without the 3-week wait |
| Mobile/responsive layout considerations | For the executives and field users who need dashboard access on-the-go |
| Developer handoff: Figma components + interaction specs | Engineering ships exactly what was designed |
Why 4 weeks is real
| Traditional Agency | Poplab |
|---|---|
| 3 weeks stakeholder interviews + requirements | AI-powered analytics audit — instant insights |
| 4 weeks manual component library creation | AI component generation — days, not weeks |
| 3 weeks IA + wireframes | Rapid IA validation with AI feedback |
| 4 weeks high-fidelity design iterations | AI-assisted design generation |
| 2 weeks admin/power user testing cycles | Synthetic admin testing — no scheduling delays |
| 16+ weeks · $18,000–30,000 | 4 weeks · $6,999 |
How it works
Week 1 — Discovery & IA (Days 1–7)
Kickoff + data model analysis + current dashboard friction audit. Stakeholder interviews with AI-powered synthesis. User role matrix + permissions architecture. Information architecture for complex data + review session.
Week 2 — Design & Component Generation (Days 8–14)
Wireframes for 3–5 key dashboard screens. High-fidelity dashboard design with data visualizations. AI-accelerated component library generation (20–30 elements).
Week 3 — Refinement & Testing (Days 15–21)
Interaction states: loading, empty, errors, filters. Onboarding flow design. Synthetic admin testing with AI-generated enterprise user scenarios.
Week 4 — Handoff & Polish (Days 22–28)
Mobile/responsive layout considerations. Developer handoff documentation + Figma component specs. Loom walkthrough + implementation Q&A.
Day 28: enterprise-ready.
Proof
- 91% task success on critical admin workflows (Mimecast) — vs. the 60–70% industry average for complex enterprise dashboards; the direct result of redesigning around how admins actually work
- 38% reduction in support tickets + 42% drop in average time-on-task (Mimecast) — when the dashboard hierarchy matches user mental models, the support queue shrinks automatically
- 21-point NPS improvement (Mimecast) — enterprise users notice when a product respects their time; this is what that looks like in the data
- Enterprise services sourcing cycle reduced from 10 weeks to 7–10 days (Maistro) — after complex workflows were redesigned into a dashboard that made the critical path obvious
A dashboard that blocks decisions doesn’t just frustrate users. It loses deals, stalls onboarding, and generates support costs you shouldn’t be paying.
Pricing & Terms
- Price: $6,999 (excl. VAT) — vs. $18,000–30,000 and 16+ weeks at a traditional agency
- Timeline: 4 weeks from kickoff to handoff
- Payment: 50% to reserve the slot, 50% on delivery
- Availability: 2 dashboard slots per month
Turn your dashboard into a competitive advantage
Book a 20-minute call. If your dashboard is blocking sales, stalling onboarding, or generating support tickets you shouldn’t be handling — this is the fastest fix available.