Services

Analytics UX Review

For teams building dashboards, reporting tools, or internal analytics products

We review your analytics product and identify usability, comprehension, and workflow issues that prevent users from getting value from the data. This is not a visual polish pass. It is a structural review of how information is organized, how decisions are supported, and where users get stuck or misinterpret results.

Likely deliverables

• Annotated audit of current analytics surfaces
• Identification of comprehension gaps, navigation dead ends, and decision bottlenecks
• Prioritized recommendations with rationale
• Written assessment document

Value

Your team gets a clear picture of what is working, what is not, and what to fix first—from someone who has spent years building analytics platforms at scale.

Data Visualization Critique

For teams presenting data through charts, dashboards, or analytical interfaces

We review your charts, dashboards, or data presentations and recommend clearer visual structures, better hierarchy, and stronger decision support. Good data visualization is not about aesthetics. It is about making the right information visible at the right time so people can act on it.

Likely deliverables

• Review of current visualization patterns and their effectiveness
• Specific recommendations for chart types, layout, hierarchy, and labeling
• Guidance on progressive disclosure for complex datasets
• Before/after sketches or wireframes where useful

Value

Users stop misreading data. Decision-makers find what they need faster. Your product earns trust through clarity instead of density.

AI Workflow & Product Strategy Advisory

For teams integrating AI into products or workflows

We help teams think through where AI should support users, how trust should be handled, and how workflow design should prevent confusion or overconfidence. This is especially relevant for products where AI outputs affect decisions, where users need to maintain judgment, or where the line between human work and machine output needs to be clear.

Likely deliverables

• Workflow audit identifying where AI adds value vs. where it introduces risk
• Trust model assessment: how users perceive, verify, and act on AI outputs
• Recommendations for transparency, control, and fallback patterns
• Product strategy notes on AI positioning and user expectations

Value

Your AI features support users instead of undermining them. The product earns trust by being honest about what AI can and cannot do.

AI Integration

For teams adding AI to an existing product or workflow

You have a product. You want AI to do something specific inside it. We help you figure out what that looks like, build it, and make sure users can actually work with the output. This is hands-on work, not a deck.

Likely deliverables

• Integration scoping and architecture input
• Design and development of the AI-facing layer
• Error states, low-confidence handling, fallback behavior
• Iteration until it holds under real use conditions

Product Clarity Review

For teams who want honest outside eyes before something ships—or after it lands wrong

Most products do not fail because the team lacked talent. They fail because no one with outside experience looked at the thing honestly before it shipped. This is a single, fixed-scope engagement. We spend 60 to 90 minutes tearing down your product, dashboard, or data interface. You get a written report and a recorded walkthrough. No ongoing commitment, no retainer, no follow-up pitch.

Deliverables

• Written findings with prioritized recommendations
• Recorded walkthrough of the product with live commentary
• A clear answer on whether the problems are surface-level or structural

Price

$1,500 to $2,500 depending on product complexity. Fixed fee. Delivered in five business days.