AI Feature Design Sprint (AI-Accelerated)

Design and validate AI-powered features that drive product differentiation. 2.5 weeks, € 5.999,00 delivered—3x faster than traditional agencies.

Most AI founders bolt on AI features that confuse users or take 3 months to validate. We use AI-powered prototyping and synthetic user testing to compress 12 weeks of traditional design into 2.5 weeks—so you ship features users trust and adopt, not ones that sit unused.

How we’re 3x faster than traditional agencies

Traditional Agency Approach:

• 2 weeks: User recruiting and scheduling
• 4 weeks: Manual design iteration
• 2 weeks: Prototype development
• 4 weeks: User testing rounds
• Total: 12+ weeks, €15,000-25,000

Poplab AI-Accelerated Approach:

• Synthetic AI testing (no recruiting delays)
• AI-assisted design generation
• Rapid prototyping with Lovable/V0/Figma Make
• Real-time iteration with AI feedback
• Total: 2.5 weeks, €5,999

This is only possible because we’re AI-native from the ground up.

Who this is for

This service is built for:

• AI/ML product founders adding new AI features or improving existing ones
• Teams with working AI models but clunky or confusing user experiences
• Products where users don’t understand what the AI does or how to get value from it
• Founders who need to ship fast and can’t wait 3 months for traditional design cycles

The problem (and what it costs you)

Your AI feature probably:

• Works technically but users don’t trust it, understand it, or adopt it
• Generates support tickets because the UX doesn’t match user mental models
• Gets ignored because it’s not discoverable or the value isn’t clear
• Feels like every other AI chatbot, copilot, or assistant—no differentiation

Traditional design agencies will spend 12+ weeks and €15k-25k to fix this. We do it in 2.5 weeks for €5,999 using AI-accelerated workflows that didn’t exist 18 months ago.

What you get

AI Feature Design Sprint – € 5.999,00 · 2.5 weeks · AI‑Accelerated

• AI capability audit: map what your model can do vs. what users need
• Rapid user research with AI-powered insight synthesis (5-8 interviews, analyzed in days not weeks)
• 3 AI feature concepts with complete interaction flows and edge cases
• Prompt engineering UX: how users input, refine, and get value from AI responses
• Error states, loading states, and transparency patterns (the “why did the AI do that?” problem)
• Interactive prototype with realistic AI responses built in Lovable/V0/Figma Make
• Synthetic user testing with AI-generated personas to validate flows in days, not weeks
• Real-time iteration using AI feedback loops
• Developer handoff with AI-specific design guidelines and prompt templates

No 4-week user recruiting cycles. No 6-week prototype builds. You get production-ready flows that account for latency, errors, hallucinations, and trust-building—validated and ready to ship in under 3 weeks.

Process (2.5 weeks)

Week 1 – Rapid Discovery & Concept Design (Days 1-7)

• Day 1-2: Kickoff + AI capability audit + competitive AI UX teardown
• Day 3-5: User interviews with AI-powered insight clustering (no 2-week analysis lag)
• Day 6-7: 3 AI feature concepts with interaction flows designed
• End of Week 1: Review session to choose winning concept

Week 2 – AI-Accelerated Prototyping (Days 8-14)

• Day 8-10: High-fidelity interactive prototype with realistic AI responses (Lovable/V0)
• Day 11-12: Synthetic user testing with AI-generated test scenarios (no recruiting delays)
• Day 13-14: Refinement + developer handoff documentation

Week 2.5 – Final Handoff (Days 15-17)

• Day 15-16: Final prototype polish and AI-specific design guidelines
• Day 17: Loom walkthrough + implementation Q&A call
• Ship-ready in 17 days, not 12+ weeks

Outcomes you can expect

Based on our AI-accelerated launches like Jot, LettsArt, and LettsNews:

• 40–60% increase in AI feature adoption within 30 days of launch
• 70% reduction in design timeline vs. traditional agencies (2.5 weeks vs 12+ weeks)
• Reduction in AI-related support tickets because users understand what’s happening
• Faster time-to-value: users “get” the AI feature on first use, not third or fourth attempt
• Clear product differentiation that stands out in demos, sales calls, and investor pitches
• 60% cost savings vs. traditional agency pricing (€5,999 vs €15k-25k)

Why this speed is only possible now

AI Tools We Use:

• Synthetic user testing: AI-generated personas provide feedback in hours, not weeks
• AI-assisted design: Rapid iteration with AI tools like V0, Lovable, Figma Make
• AI-powered research synthesis: Interview analysis in 1 day, not 2 weeks
• Real-time prototyping: Ship interactive prototypes in days, not weeks

Traditional agencies can’t match this because:

• They’re built for manual processes (recruiting, scheduling, iteration cycles)
• They don’t have AI-native workflows
• They charge for the time they spend, not the value they deliver

We’re AI-native. This speed advantage is our moat.

Pricing, timeline, and terms

• Price: €5,999 (excl. VAT)
• Timeline: 2.5 weeks from kickoff to handoff
• Payment: 50% to reserve the slot, 50% on delivery of final prototype and documentation
• Availability: 2 AI Feature Sprint slots per month – once they’re taken, next availability moves to the following month
• Compare: Traditional agencies charge €15k-25k and take 12+ weeks for similar scope