Founder-led product sprints
Buy a clear first engagement, not a maze of services.
HAAM packages strategy, UX, frontend implementation, accessibility, analytics, and AI oversight into focused sprints with concrete outputs.
AI product teams
AI UX and Governance Sprint
Audit AI-assisted journeys, trust states, fallback behavior, and human oversight before confusing AI flows become product risk.
- Timeline
- 2-4 weeks
- Commercial frame
- Starting from EUR12k
EU digital services
EAA Accessibility Readiness Sprint
Review WCAG-facing product risk, prioritize remediation, and produce a clear accessibility plan for design and engineering teams.
- Timeline
- 2-3 weeks
- Commercial frame
- Starting from EUR9k
Growth and marketing teams
Growth Signal Sprint
Turn messy analytics, CRO ideas, and AI-search anxiety into a practical measurement model and 90-day optimization roadmap.
- Timeline
- 3-5 weeks
- Commercial frame
- Starting from EUR12k
How we solve the problem
From messy goals to a working digital experience.
If your website, product, or campaign is hard to explain, hard to use, or hard to measure, the work starts by finding the friction and ends with something people can actually navigate, trust, and improve.
Chapter 1
Diagnose
Name the business problem and audience friction.
Chapter 2
Design
Turn evidence into a focused prototype or journey.
Chapter 3
Deliver
Launch the experience with clear content and code.
Chapter 4
Grow
Measure, localize, and keep improving the system.
Chapter 1 · Sharpen demand
Win clearer B2B and B2C journeys worldwide
B2B: Sharpen positioning, build multilingual lead funnels, and convert inbound traffic into qualified pipeline across different regions.
B2C: Localize messaging, strengthen product storytelling, and run data-driven campaigns that turn discovery into repeat purchases.
Connect market-specific UX, analytics, and experimentation so your sales and marketing systems perform across cultures, languages, and time zones.
Chapter 2 · Test the opportunity
Turn open questions into tested digital opportunities
Study user needs, market signals, platform capabilities, and emerging AI tools. Then convert the strongest hypotheses into small experiments before a large build begins.
Each sprint clarifies risks, sharpens direction, creates working prototypes, and gives your team evidence to scale, pause, or redesign.
Keep R&D small, visible, and measurable.
Use short discovery loops, prototype evidence, and clear handoff notes instead of long reports that never reach production.
Step 1
Spot the signal
Interview users, read analytics, scan markets, and map technical constraints so every move starts with evidence instead of guesswork.
Step 2
Shape the prototype
Turn the strongest ideas into lightweight flows, AI-assisted workflows, and browser-native demos that teams can test before heavy investment.
Step 3
Prove the path
Measure what changes, document what works, and package the learning into reusable components, playbooks, and product decisions.