AI Feature Design Sprint
AI/ML Products · $5,999 · 2.5 Weeks · AI-Accelerated
Your AI model works. Your AI UX doesn’t.
Users don’t trust it, don’t understand it, or ignore it entirely. The feature ships. Adoption stays flat. Support tickets pile up with “why did it do that?” And the product looks like every other AI copilot that launched last quarter.
Traditional agencies take 12+ weeks and $15–25K to fix this. This sprint does it in 17 days — using AI-native workflows that compress research, prototyping, and validation into a single tight cycle.
This is for you if
- You have a working AI model but the UX doesn’t match user mental models — adoption is low and confusion is high
- You need to ship a validated AI feature fast and can’t wait 3 months for a traditional design cycle
- Your AI feature is technically differentiated but looks and feels like every other chatbot or copilot in the market
What you get
| Deliverable | Why it matters |
|---|---|
| AI capability audit | Maps what your model can actually do vs. what users need — misalignment here kills adoption before design even starts |
| 5–8 user interviews + AI-powered synthesis | Insight clustering in 1 day, not 2 weeks; patterns surface while the team still has momentum |
| 3 AI feature concepts with full interaction flows | Three real directions with edge cases covered — not vague wireframe sketches |
| Prompt engineering UX | How users input, refine, and extract value from AI responses; the layer most teams skip entirely |
| Error, loading + transparency states | The “why did the AI do that?” problem solved — trust patterns designed in, not bolted on later |
| Interactive prototype (Lovable/V0/Figma Make) | Realistic AI responses baked in — not a click-through dummy, an actual testable flow |
| Synthetic user testing | AI-generated personas validate flows in hours, no recruiting delays, no 3-week scheduling cycle |
| Developer handoff + AI-specific design guidelines | Prompt templates, interaction specs, and implementation notes so engineering ships what was designed |
Why 2.5 weeks is real
| Traditional Agency | Poplab |
|---|---|
| 2 weeks recruiting users | AI synthetic testing — feedback in hours |
| 4 weeks manual design iteration | AI-assisted design generation + rapid iteration |
| 2 weeks prototype development | Lovable/V0/Figma Make — interactive in days |
| 4 weeks user testing rounds | Real-time AI feedback loops |
| 12+ weeks · $15,000–25,000 | 2.5 weeks · $5,999 |
Traditional agencies charge for the time they spend. This sprint charges for the outcome you need.
How it works
Week 1 — Discovery & Concept Design (Days 1–7)
Kickoff + AI capability audit + competitive AI UX teardown. User interviews with same-day AI-powered synthesis. Three AI feature concepts with full interaction flows. End-of-week review to select winning direction.
Week 2 — AI-Accelerated Prototyping (Days 8–14)
High-fidelity interactive prototype with realistic AI responses built in Lovable/V0. Synthetic user testing with AI-generated scenarios — no recruiting delays. Refinement + developer handoff documentation.
Week 2.5 — Final Handoff (Days 15–17)
Final prototype polish + AI-specific design guidelines. Loom walkthrough + implementation Q&A call. Ship-ready in 17 days.
Proof
- ~30% increase in VDR feature adoption within the first week + 2.4x task discoverability (AI VentureFactory) — after AI features were redesigned with clear value signals, transparency patterns, and discoverable entry points
- 1.8x engagement with AI tools (LettsArt) — driven by redesigning the AI interaction layer so users understood what the feature did on first contact, not the third attempt
- ~60% faster design-to-prototype cycle (AI VentureFactory) — the direct result of AI-native workflows replacing manual iteration and recruiting cycles
- ~25% reduction in support-driven UX queries (AI VentureFactory) — because error states, loading patterns, and transparency UX were designed in from the start, not patched after launch
AI features that users don’t understand get abandoned. AI features designed for trust and clarity compound into your competitive moat.
Pricing & Terms
- Price: $5,999 (excl. VAT) — vs. $15,000–25,000 and 12+ weeks at a traditional agency
- Timeline: 2.5 weeks from kickoff to final handoff
- Payment: 50% to reserve the slot, 50% on delivery of final prototype and documentation
- Availability: 2 sprint slots per month
Turn your AI capability into a competitive advantage
Book a 20-minute call. We’ll audit your current AI UX, identify the trust and adoption gaps, and tell you straight whether this sprint is the right lever to ship a feature users actually use.