UX Design - Rebash Digital

What We Design

We make AI feel like a smart assistant — not a black box.

Users abandon AI products when they can’t trust them. We solve that with thoughtful design patterns that explain predictions, surface AI reasoning, and offer users control or feedback mechanisms.

Explainability UX for
AI Outcomes

Confidence Score
Design Patterns

Justification
Layers

Tooltip & Popup info Design

Visual Treatment for
Low vs High Certainty

Feedback Buttons for Training/Improvement

Figma-Ready
Responsive Designs

UX Patterns We Implement

Confidence Scores with visual indicators
Inline “Why this result?” explainers
Option to refine, rephrase, or flag result
Ranking indicators (e.g. AI score: 87%)
Heatmaps or tags showing influencing factors
“Model still learning” friendly language

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Why Explainability Matters

Trust is UX. And AI needs more trust than any other system.

When your AI suggests a candidate, scores a risk, or denies a user — it must
feel understandable and fair. We design those layers into your product — without slowing
users down.

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Who This is For

AI SaaS Products that Generate Predictions, Matches, Scores, or Actions

Founders Building AI Tools for HR, Finance, Health, or Legal

Teams Concerned About Bias,
Trust, or Adoption Hurdles

AI Tools Needing Transparency
for Enterprise Onboarding

Real Use Cases

Hiring Tools: Why was this candidate suggested?
Fintech: Why is this transaction risky?
Health AI: Why was this condition flagged?
EdTech: Why was this answer marked incorrect?

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Included in Your ReBash Plan

Unlimited design requests
Slack + Notion collaboration
Full Figma delivery with design logic
Flat monthly pricing — no surprises

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HR SaaS platform with AI
hiring planner

We designed a full product from scratch, including onboarding, smart job creation, and a transparent
candidate matching engine.

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Recruiter Trust

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Decision Confidence

View Full Case Study

What Founders Say

“We had the prediction logic ready. ReBash helped us make it transparent — and usable. Now even non-technical users understand our AI.””

Tabbi Obermeier

Product Lead, AI SaaS Startup

What Founders Say

“We had the prediction logic ready. ReBash helped us make it transparent — and usable. Now even non-technical users understand our AI.””

Tabbi Obermeier

Product Lead, AI SaaS Startup

What Founders Say

“We had the prediction logic ready. ReBash helped us make it transparent — and usable. Now even non-technical users understand our AI.””

Tabbi Obermeier

Product Lead, AI SaaS Startup

Call to Action

Ready to Add Trust to Your AI Product?

Let’s make your AI more usable — with design that explains, not confuses.

Start Your Subscription Book a Discovery Call