AI UX Audit
AI UX Audit for Clearer, More Reliable User Journeys
I audit AI-assisted product flows to identify trust gaps, unclear interactions, human oversight needs, and conversion friction, then prioritize practical fixes your team can ship.
How I Help
- Map AI-assisted journeys: prompt entry, response review, correction loops, and task completion.
- Evaluate trust and transparency signals: confidence, limitations, fallback states, and error handling.
- Review human-in-the-loop controls, escalation paths, and places where legal or privacy review may be needed.
- Review interaction clarity across empty, loading, success, and failure states.
- Deliver a prioritized UX backlog tied to business and behavior outcomes.
Fixed-scope starting point
AI UX and Governance Sprint
B2B SaaS, internal tools, copilots, recommendations, agents, and AI-assisted search or support flows.
- Timeline
- 2-4 weeks
- Budget frame
- Starting from EUR12k
Builds on HAAM's AI UX audit, interaction design, and human oversight work.
Relevant Proof
Green Filter Decision Support
Research-led sustainability product work focused on helping users understand recommendations and act on decision-support cues.
- Connected user research to product framing and prioritization.
- Explored in-context guidance patterns for shopping and finance decisions.
- Translated behavior-change goals into clearer interaction patterns.
Short AI Video Story Concepts
These story and script seeds can become short AI-generated videos that explain what the service does, why it matters, and how HAAM delivers it.
The Trust Gap
Story: A user asks an AI feature for help, pauses at a vague answer, then sees the journey rebuilt with confidence cues, fallback states, and clearer correction loops.
Script: Open on the customer problem, cut to the confusing or high-risk moment, then show HAAM mapping the journey, applying practical UX changes, and ending on a clearer measurable outcome.
Production note: Show how an audit turns confusing AI moments into reliable task completion.
Before / During / After
Story: Start with the current experience as a messy storyboard, move into a focused working session, and finish with a concise set of improvements ready for review or implementation.
Script: Scene one: friction and uncertainty. Scene two: HAAM turns evidence, constraints, and design judgment into a plan. Scene three: the service outcome is shown as a simpler flow, stronger signals, and a clear next step.
Production note: Use this as a reusable 20-30 second explainer format for social, proposals, and service-page videos.
Related Work
Green Filter App
Research-driven sustainability product where decision support patterns had to be understandable and actionable.
Green Filter Chrome Extension
In-flow guidance prototype tested in live browsing contexts to validate behavior-change interaction quality.
WiFi.ee
Cross-platform journey design work balancing UX clarity, technical constraints, and real purchase behavior.
FAQ
What is included in an AI UX audit?
I review user journeys, response trust signals, state behavior, and decision clarity, then provide prioritized fixes with implementation guidance.
Do you work with existing products or only new builds?
Both. I can audit an existing AI feature or support AI UX decisions from prototype through production.
How quickly can we act on findings?
The output is built for execution: concrete friction points, expected impact, and a practical implementation sequence.