English
Contact us
AI UX RESEARCH
Conduct UX research faster with AI personas
Get usability, accessibility, and heuristic insights with synthetic user testing,
no audience recruitment needed.
no audience recruitment needed.
1. SYNTHETIC USER PANELS
Get feedback from synthetic users that mirror real audiences
Generate hundreds of synthetic respondents from personas built on your first-party (web analytics, CRM, research documents) and public data, each mimicking the demographics, behaviors, and decision-making traits of a specific user segment.
Filter by attributes like gender, location, or job title to recreate targeted UX testing panels, and reuse them across every study without rebuilding a panel from scratch.
2. AI USER TESTING
Test designs, prototypes, or live user flows
Validate designs, prototypes, or user flows before you commit to them. Upload a prototype or drop in a URL, set your goals, and let AI participants take it from there.
Run simulations to eliminate weak concepts before development, pressure-test variants and onboarding, trace the path to checkout to find where users abandon flow, and probe edge cases too costly to test with a human panel.
3. RESPONDENT & MASTER JOURNEYS
Analyze every touchpoint, thought, and action
Go beyond what happened with synthetic user research. View results by individual respondents to see the touchpoints, sentiments, actions, and think-aloud commentary you'd normally only find in a moderated session.
Zoom out to the master journey to check aggregated heatmaps that reveal what a single session cannot: which elements pull attention, which get ignored, and exactly where users cluster or drop off.
4. POST-TEST QUESTIONS & FOLLOW-UPS
Ask follow-up questions to close the loop
Add post-test questions to any research study and collect interview transcripts once your users finish the exercise. Probe the reasoning behind a drop-off or check a hypothesis without fielding a separate study.
And because simulated users run on anonymized, aggregated data, you can experiment freely across the journey without the compliance overhead that comes with personal user data.
5. USABILITY, ACCESSIBILITY & HEURISTIC REPORTS
Walk into every review with evidence, not opinions
Turn raw sessions into insights you can act on. Every study ends with key insights synthesized across all sessions, backed by verbatim quotes, plus the friction points users hit while completing your tasks.
Accessibility feedback flags barriers against standards like WCAG, and a heuristic evaluation scores your interface against established usability principles, so you know where the design holds up, breaks, and users lose momentum.
6. PRIORITIZED ACTION ITEMS
Turn research findings into a fix list
Each report closes with prioritized follow-ups drawn directly from what your synthetic respondents experienced, giving your team a list of issues to fix first.
Use the findings to adjust user flows, layout, and navigation, then rerun the study after every iteration. Continuously update synthetic users with fresh data and keep testing while issues are still easy to fix.
Speed, scale, and a feedback loop that never stalls
A normal user test can take weeks and cost too much to repeat. UX research with AI personas can deliver early insights with data-backed audiences in minutes/hours, making it possible for UI/UX designers to test every iteration on time.
Flexible pricing that matches your needs
"What sets Delve AI apart is its ability to synthesize complex data into hyper-specific brand personas. It's fascinating how it reads through heaps of analytics and distills them into clear, actionable insights about our customer base. The process is impressively seamless. It's a game-changer for any brand looking to deepen its understanding of its audience and drive targeted marketing efforts."Teresa Fuller, Senior Vice President, Bask Suncare
Telecommunications
Using Digital Twins as Thought Partners for Marketing
Discover how WIN used research-backed personas and digital twins of customers to understand different audience segments including detailed behavioral and preference insights, validate concepts, and test marketing ideas.
Refining Messages Using Digital Twins
Learn how a US-based home remodeling and design firm leveraged digital twins of customers to refine marketing messages and campaign ideas, and improve the effectiveness of their content plans.
Retail
Driving Omnichannel Retail with AI Personas
Discover how Super Butcher, a family-owned retail business in Australia, used data-driven persona insights to enable engaging and seamless customer experiences across physical and online stores.
Recommended by experts
Featured in news / research
Synthetic User Testing with AI Personas
Synthetic user testing uses AI-generated personas to mimic user behavior, test prototypes, and generate qualitative feedback to inform product development. Learn its uses and limitations in this article.
13 Best Use Cases of Synthetic Research
Find out how Delve AI’s Synthetic Research software supports user research and market studies, including concept testing, competitor analysis, and 11 additional use cases.
Using Synthetic Panels To Find Customer Insights
Synthetic panels help you get feedback without real human respondents. Read this post to learn how brands can use them to understand consumer preferences, behaviors, and purchase patterns.
© 2026 Delve AI, Inc. All rights reserved.