What if you could turn real user feedback into your next design iteration with a single prompt?

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With Optimal MCP and Figma Agent, you can turn user research to design updates in minutes. Pull insights from your Optimal studies into Figma, then let its AI design agent update multiple frames and screens based on real participant feedback. As you gather more feedback, you can keep refining your designs, testing updated prototypes with real users and using what you learn to shape the next iteration.

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Together, Optimal MCP and Figma Agent help close the loop between research and design, helping you turn real user feedback into better designs with every iteration.
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How does the Optimal MCP & Figma Agent work? 

Optimal MCP and Figma Agent help you connect the dots between research and design. Connect Optimal to Figma and draw on findings from one or multiple studies, including participant feedback, usability insights, transcripts and prototype task results. Figma’s AI design agent can use these insights to update existing designs or generate new ones based on your prompts.
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Then, bring your updated prototypes back into Optimal to test them with real participants and see how your changes perform.
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So what does this look like in practice? Imagine you've run a usability study and discovered that participants are struggling to find an important action in your product. Here’s how to put this research design loop into action.

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From research insight to your next breakthrough
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1. Turn user insights into new design possibilities

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Reference Optimal MCP and one or more Optimal studies in Figma’s agent chat. Ask the agent to explore solutions to the usability issues your research revealed and generate design changes to address them.

Example prompt: "Connect to Optimal Workshop MCP, look at study "Mobile banking app", read the feedback and update the prototype based on the participants' feedback. Add these updated prototype screens to a new page in this file, side-by-side with the original artboard."

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2. Explore further. Iterate faster.

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Use AI to explore alternatives, challenge your first approach and move through design possibilities faster. Then bring your expertise to the process. Evaluate the trade-offs, review the prototype flows, refine the details and decide which ideas best serve your users.

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As more participant feedback to your Optimal studies comes through, ask the agent to pull feedback from those new participants to bring those fresh insights into your Figma iterations.

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3. Put your changes to the test

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Here's where the loop gets even more exciting.

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Put your newly updated prototype to the test with a new Optimal study. Have you made that important action easier to find? Does the new design solve the original problem? What could be even better?

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You can test multiple prototypes or combine multiple methods in one study, whether you're working with a prototype, live website or web app, or AI prototype with Optimal’s Usability Testing tool or keep it focused on one prototype with Optimal’s Prototype Testing tool.

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Every round of testing gives you more to work with. Every new insight creates another opportunity to improve.
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Ready to bring user research into your next design iteration?

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AI is changing how quickly we can move from an idea to a design. Make the most of your research by connecting Optimal to Figma’s AI Design Agent with Optimal MCP to build experiences and products people love.

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Get started with the Optimal MCP setup guide or check out the interactive demo.

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We recently hosted a live webinar introducing Optimal's new Usability Testing tool, a powerful solution that brings multiple research methods together in a single study, helping you get better insights, faster.

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Looking for the highlights? We've rounded up answers to the most common questions from the session.

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What is Usability Testing?

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Optimal's new Usability Testing tool is a mixed-methods research tool that brings Prototype Testing, Live Site Testing, and Surveys into a single, end-to-end study workflow. Instead of treating each method as its own initiative, you can combine them inside a single study to allow participants to move naturally between tasks, experiences, and questions.

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With this tool, you can compare multiple prototypes side by side, benchmark a current live experience against a redesigned concept, evaluate a competitor's experience, and more. And researchers get everything analyzed in one place with AI-powered summaries, task results, video clips, and evidence-backed insights surfaced automatically.

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Is Usability Testing supported for mobile testing?

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Yes, participants can complete Usability Testing studies on mobile devices using their mobile browser or the Optimal Participant App. If screen recording is required, participants are prompted to download the Optimal Participant App, available for both iOS and Android. 

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Do you have to use multiple methods, or can you run just one?

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You can keep it simple and run a single survey, a standalone prototype test, or a live site session on its own. Or, mix methods or run multiple of the same method, such as multiple prototypes or live website tests in one study. The tool supports however your study needs to be shaped.

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Can you run bilingual studies?

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Usability Testing currently supports over 30 languages enabling what participants see and guiding how AI models interpret responses, generate summaries, identify themes, and surface insights. Today, studies are configured around a single language, so participants are expected to respond in the chosen language. That said, multilingual study support is something we're exploring for our roadmap.

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Are participants recruited once across all methods, or separately for each?

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Just once. From the participant's perspective, this looks and feels like a single study regardless of how many methods are included. They move through the experience naturally from start to finish.

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To what extent can sections and questions be randomized?

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Section-level randomization shuffles the order of any sections, while question-level randomization works within a specific section, shuffling the order of tasks and follow-up questions. Both are supported, giving researchers the flexibility to reduce order bias, particularly useful when comparing multiple experiences.

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Can you test multiple prototypes within the same study?

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Yes, with no limitations on the number of prototypes you can link to a single study so you can add multiple Figma prototype sections and connect a different prototype to each one.

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Can you reorder sections and questions in a study?

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Given that Usability Testing studies can grow complex, the ability to reorder things quickly was a priority. You can reorder individual tasks and questions within a section, and sections themselves by dragging them in the Build panel.

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How effectively can Usability Testing scale across a business?

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Scaling research isn't just about running more studies, it's about helping more people across the business access insights, understand them, and use them to make decisions. With Usability Testing, product managers, designers, and stakeholders can quickly understand what happened and why without having to see hours of recording through the automatically generated highlight reels, key quotes, and transcripts.

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Watch the full webinar

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If you want to experience the full walkthrough, demo, and Q&A, watch the recording to see Usability Testing in action and pick up tips and best practices straight from the session.

👉 Watch the full webinar here.

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The pace of product development has never been faster, and the cost of building on assumptions has never been higher. At Optimal, we've spent nearly two decades helping teams get closer to their users, and what we're seeing right now is a fundamental shift in how research gets done. More teams are running research than ever before and timelines to act on findings are tighter, while the expectations for what research needs to deliver keep rising. 

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That shift is exactly what's driving Optimal 3.0, our most ambitious reinvention of the platform yet, designed to give every team the speed, depth, and flexibility that modern research demands. Today's release is the next step in that journey.

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Optimal's new mixed-methods research tool tears down the boundaries between methods. It brings prototype testing, live site testing, and surveys into a single, end-to-end study workflow. And grounded in our product principles: speed to insights, access for all, and communication. 
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A Unified Way to Test Usability
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True multi-method research

Optimal’s new Usability Testing tool marks the next step in the evolution of Optimal 3.0, giving teams the flexibility to evaluate experiences in whatever form they exist today.
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• Early-stage ideas and concepts
• Interactive prototypes
• AI-generated or experimental flows
• Live production experiences
• Competitor or benchmark sites
• Surveys and structured feedback
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Combine prototype testing, AI prototype testing, live site testing, and surveys in a single study. Test multiple prototypes side by side, compare different live URLs, or mix prototype and live site tasks together all in one workflow. Research can now mirror how products actually evolve, from early concept to shipped experience.
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Richer qualitative insight collection

New speak-aloud question types, custom message blocks, auto-generated transcripts and insights, citations and highlight clips help you capture the context and reasoning behind every action. AI-assisted analysis then helps you make sense of it all fast and communicate with impact.
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A redesigned results and insights layer

Review a study overview surfacing key themes, pain points, and sentiment analysis combining insights across all your study methods along with detailed results, task analysis and recordings, transcripts, key quotes, and automatically generated citations and video clips. 

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Coming soon: you can also use AI Chat to chat with your data directly, asking questions and pulling new insights and evidence across all your qualitative and quantitative inputs.

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Six ways to put it to work

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1. Compare design variations in a single study, such as multiple navigation layouts, checkout flows, or onboarding concepts
2. Explore early-stage concepts before committing to build
3. Benchmark current live experience vs a redesigned prototype
4. Test staging vs production, or two campaign landing pages
5. Validate end-to-end journeys from concept to live experiences
6. Compare your experience against competitors‍

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Why this matters

Modern product development is no longer linear. Teams continuously move between:
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• Discovery and validation
• Design and iteration
• Prototype and production
• Concept and reality
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Traditional usability testing tools were not built for this fluidity.  Optimal’s Usability Testing brings the flexibility to match how teams actually work today.

By combining multiple methods into a single study and pairing it with AI-powered synthesis, Usability Testing helps teams reduce setup and analysis time, recruit once, capture richer qualitative context, compare experiences more easily, move faster from feedback to action, and tell clearer, more compelling insight stories. 
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Learn how to get started with Usability Testing in Optimal and accelerate your path from idea to insight. Book a meeting, start exploring in your account, or join our live training webinar on June 24th to see it in action.

Figma has long been the go-to tool for UI/UX designers, known for its intuitive interface and real-time collaboration. In fact, over 95% of Fortune 500 companies rely on Figma, and 13 million monthly active users trust it to design and prototype digital experiences.

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If you’re already designing in Figma, integrating with Optimal can help to validate your ideas early, reduce costly mistakes, and deliver experiences users actually want.

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The Hidden Cost of Skipping Design Validation

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Validating designs before development and catching usability issues early has a measurable impact on both users and the business. Research consistently shows that:

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• Early usability testing and design validation can reduce later redesign or bug-fix costs by a significant margin up to 40-50%.
• Integrating customer insights into design decisions can increase user satisfaction by up to 70%.
• Companies that prioritize UX design experience a 50% faster time-to-market for their products.

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Figma + Optimal: Prototype Testing and Design Validation

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Instead of waiting for post-launch analytics or expensive redesigns, you can test your Figma prototypes with real users in hours, not weeks with Optimal. Get quantitative data, watch recordings, analyze heatmaps, and actually see where users struggle, all before a single line of code is written.

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Here’s a look into 4 practical ways teams use Figma and Optimal together.

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4 Ways to Test Figma Designs with Optimal

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1. Preference Testing: Let Users Pick the Winner

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Ever had a debate with your team about which design direction to take? Let data decide.

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Here's how:

• Create a Figma frame with two designs side-by-side (think: two homepage variations, competing button styles, different navigation approaches)
• Copy your Figma link and drop it into an Optimal first-click test
• Ask participants: "Which design do you prefer?"
• Watch the results roll in with heatmaps showing exactly where users clicked

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2. Concept Testing: Does Your Idea Actually Make Sense?

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You've got a bold new concept. It makes perfect sense to you. But will users get it?

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The process:

• Build wireframes or mockups in Figma (they don't need to be pixel-perfect)
• Import your Figma link into an Optimal first-click or prototype test
• Create tasks like “Click the option that best matches what you’re trying to do.” or “Click where you would sign up.”
• Analyze whether users successfully understand and navigate your concept

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3. Prototype Testing: Find the Friction Before Development

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You've built a clickable prototype with multiple screens and interactions. It looks polished. But does it actually work for users?

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Step-by-step:

• Build a complete interactive prototype in Figma
• Ensure all frames and flows are complete in Figma before importing into Optimal.
• Copy your Figma prototype URL (works even with password-protected links)
• Paste it into an Optimal prototype test
• Define realistic tasks: "You want to buy running shoes under $100. Complete the purchase."
• Watch video recordings and analyze usability metrics, clickmaps, misclicks, successes/failures, and heatmaps

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What you'll discover might surprise you. Users will:

• Click on things you never intended to be clickable
• Miss obvious CTAs you thought were perfectly placed
• Get lost in navigation that seemed intuitive to your team
• Abandon tasks at friction points you didn't know existed

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4. AI Prototype Testing: Validate AI-Generated Designs

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The rise of AI design tools like Figma Make has changed the game. You can now generate a functional prototype from a text prompt in minutes. But just because AI can create it doesn't mean users can use it.

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Quick workflow:

• Generate a prototype using Figma Make
• Copy the URL and drop it into an Optimal live site test
• Add your testing tasks
• Review recordings to spot usability issues

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This is perfect for rapid experimentation. 

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Getting Started Is Simple

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1. Prep your Figma file - Have a prototype or design ready
2. Copy the link - Grab your Figma share URL
3. Create your test - Choose first-click, prototype test, or live site test in Optimal
4. Paste and configure - Add your Figma URL and write your test tasks
5. Launch - Use your own participants or tap into Optimal's panel or Managed Recruitment services
6. Analyze - Review results and iterate

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Launch Designs Users Love

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Figma gives you the power to design and prototype rapidly, while Optimal gives you the insights to make sure those designs actually work for real users. Together, they create a workflow built on real insights, not guesswork.

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By testing early and often, teams can reduce risk, build confidence in their designs, and move into development knowing their work has already been validated by users. Gather insights quickly, collaborate more effectively, and keep projects moving forward with evidence-backed decisions.

Ready to validate your next Figma prototype? Use Optimal as part of your workflow and start testing with real users today.

In today's rapidly evolving utility landscape, artificial intelligence  presents unprecedented opportunities to transform customer engagement strategies. However, as UX professionals in the energy and utilities sector, it's crucial to implement these technologies thoughtfully, balancing automation with the human touch that customers still expect and value.

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Understanding AI's Role in Customer Engagement

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The energy and utilities sector faces unique challenges: managing peak demand periods, addressing complex billing inquiries, and communicating effectively during outages. AI can help address these challenges by:

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• Managing routine inquiries at scale: Chatbots and virtual assistants can handle common questions about billing, service disruptions, or energy-saving tips, freeing human agents for more complex issues.
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• Personalizing customer communications: AI can analyze consumption patterns to deliver tailored energy-saving recommendations or alert customers to unusual usage.
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• Streamlining service processes: Smart algorithms can help schedule maintenance visits or process service changes more efficiently.

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Finding the Right Balance: AI and Human Interaction

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While AI offers significant advantages, implementation requires careful consideration of when and how to deploy these technologies:

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Where AI Excels:

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• Initial customer triage: Directing customers to the right department or information resource
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• Data analysis and pattern recognition: Identifying trends in customer behavior or service issues
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• Content creation foundations: Generating initial drafts of communications or documentation
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• 24/7 basic support: Providing answers to straightforward questions outside business hours

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Where Human Expertise Remains Essential:

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• Complex problem resolution: Addressing unique or multifaceted customer issues
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• Emotional intelligence: Handling sensitive situations with empathy and understanding
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• Content refinement: Adding nuance, brand voice, and industry expertise to AI-generated content
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• Strategic decision-making: Determining how customer engagement should evolve

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Implementation Best Practices for UX Professionals

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As you consider integrating AI into your customer engagement strategy, keep these guidelines in mind:

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1. Start with clear objectives: Define specific goals for your AI implementation, whether it's reducing wait times, improving self-service options, or enhancing personalization.
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2. Design transparent AI interactions: Customers should understand when they're interacting with AI versus a human agent. This transparency builds trust and sets appropriate expectations.
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3. Create seamless handoffs: When an AI system needs to transfer a customer to a human agent, ensure the transition is smooth and context is preserved.
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4. Continuously refine AI models: Use feedback from both customers and employees to improve your AI systems over time, addressing gaps in knowledge or performance.
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5. Measure both efficiency and effectiveness: Track not just cost savings or time metrics but also customer satisfaction and resolution quality.

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Leveraging Optimal for AI-Enhanced Customer Engagement

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Optimal's user insights platform can be instrumental in ensuring your AI implementation truly meets customer needs:

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Tree Testing

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Before implementing AI-powered self-service options, use Tree Testing to validate your information architecture:

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• Test whether customers can intuitively navigate through AI chatbot decision trees
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• Identify where users expect to find specific information or services
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• Optimize the pathways customers use to reach solutions, reducing frustration and abandonment

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Card Sorting

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When determining which tasks should be handled by AI versus human agents:

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• Conduct open or closed card sorting exercises to understand how customers naturally categorize different service requests
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• Discover which functions customers feel comfortable entrusting to automated systems
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• Group related features logically to create intuitive AI-powered interfaces that align with customer mental models

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First-Click Testing

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For AI-enhanced customer portals and apps:

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• Test whether customers can quickly identify where to begin tasks in your digital interfaces
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• Validate that AI-suggested actions are clearly visible and understood
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• Ensure critical functions remain discoverable even as AI features are introduced

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Surveys

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Gather crucial insights about customer comfort with AI:

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• Measure sentiment toward AI-powered versus human-provided services
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• Identify specific areas where customers prefer human interaction
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• Collect demographic data to understand varying preferences across customer segments

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Qualitative Insights

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During the ongoing refinement of your AI systems:

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• Capture qualitative observations during user testing sessions with AI interfaces
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• Tag and categorize recurring themes in customer feedback
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• Identify patterns that reveal opportunities to improve AI-human handoffs

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Prototype Testing

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When developing AI-powered customer interfaces for utilities:

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• Test early-stage prototypes of AI chatbots and virtual assistants to validate conversation flows before investing in full development
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• Capture video recordings of users interacting with prototype AI systems to identify moments of confusion during critical utility tasks like outage reporting or bill inquiries
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• Import wireframes or mockups of AI-enhanced customer portals from Figma to test user interactions with energy usage dashboards, bill payment flows, and outage reporting features

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Looking Forward

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As AI capabilities continue to evolve, the most successful utility companies will be those that thoughtfully integrate these technologies into their customer engagement strategies. The goal isn't to replace human interaction but to enhance it, using AI to handle routine tasks while enabling your team to focus on delivering exceptional service where human expertise, creativity, and empathy matter most.

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By taking a balanced approach to AI implementation, supported by robust UX research tools like those offered by Optimal, UX professionals in the energy and utilities sector can create more responsive, personalized, and efficient customer experiences that meet the needs of today's consumers while preserving the human connection that remains essential to building lasting customer relationships.

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We’re excited to launch our video recording functionality for prototype testing, enabling you to dive deeper into the “why” behind user actions and empowering you to make data-informed decisions faster and with greater confidence.

See User Actions Come to Life

Capture the nuance of user interactions with screen, audio, and/or video recording. With Optimal’s video recording feature, you can:
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• Understand Intent: Watch users in action to reveal their decision-making process.
• Spot Friction Points: Identify moments of hesitation, confusion, or frustration.
• Test Your Ideas: Leverage user insights to make informed decisions before moving forward.‍
• Track Task Success: Combine video insights with quantitative data to understand what works and what needs refinement.
• Share Compelling Insights: Use recordings to drive alignment across your team and key stakeholders.
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Drive Value with Video Recordings and Prototype Testing

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‍By combining video recordings with prototype testing, you can unlock actionable insights that make a real impact. 
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Here’s how they drive value for your initiatives:
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• Higher Conversion Rates: Optimized designs based on real user feedback lead to increased engagement.
• Greater User Satisfaction: Tested prototypes help to better align your experiences with user needs and expectations.
• Reduced Development Costs: Catch issues early to avoid costly fixes later in the development process.
• Faster Time-to-Market: Resolve design flaws early to accelerate project timelines.
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Recruit the Right Participants for Richer Results‍

Optimal combines the power of video recording, participant recruitment, and a comprehensive UX insights and research platform to elevate your product and research process.
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Use Optimal’s recruitment service to quickly connect you with millions of people in 150+ countries ready to take part in your study. Our in-house team handles feasibility assessments, sends reminders and confirmations, reviews personalized study setups, and conducts human checks to ensure high quality participants to maximize the value of your video recordings.
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Thank you, Beta Testers‍

We’re grateful to our early adopters and beta testers for shaping the future of video recording and prototype testing. Based on your valuable feedback, we’ve made the following updates:
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Video recording updates

• Additional recording controls: You can now control whether to reject participants or forward a participant to a non-recording study link if they do not meet your recording criteria. 
• Translations: Set your study language and translate the recording instructions into 180+ languages.
• No video expirations: We’ve removed video expirations, ensuring your recordings remain accessible as long as you have an active Optimal subscription.
• Improved participant experience: We’ve improved the technology to reduce technical errors, creating a more reliable and user-friendly experience.
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Prototype testing updates

• Collapse/expand and move tasks: Increase prototype visibility by hiding or moving tasks, making it easier for participants to view and interact with more of your design, especially for mobile prototypes.
• Option to end tasks automatically: When enabled, tasks will automatically end 0.5 seconds after a participant reaches a correct destination, removing the need for participants to confirm that they've completed the task. This can improve the overall participant experience, removing steps and making tests faster to complete.
  
• Increased Figma frame limit:  We’ve increased the Figma frame limit from 30 to 100 frames to support larger, more complex prototypes.
• Expanded task results: Task path results now indicated completed and skipped tasks for better analysis.
• Time-saving improvements: Auto-select the starting screen after importing a Figma prototype, and enjoy task selection persistence across tabs in the analysis view.
• Enhanced security: We’ve updated Figma authorization for expanded security for your prototypes.
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Ready to unlock the power of video recording?
Get started with a prototype test in Optimal or visit our help documentation to learn more.

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