Figma + Optimal: Design, Test, Iterate Faster

AI prototyping isn’t just a side experiment anymore. It’s quickly becoming a real advantage for product and design teams. According to a 2025 industry report, companies using AI prototyping tools saw a 35% increase in development efficiency and a 25% improvement in user adoption rates compared to traditional coding methods.
‍

The takeaway? Rapid prototyping with AI doesn’t just save time. It’s driving measurable product impact.
‍

‍

‍

‍

‍

What Is AI Prototyping?

AI prototyping turns simple text prompts into interactive, functional prototypes. You can describe your design concept in plain English e.g. "I want to create a flight booking webpage to review a checkout flow" and minutes later, you have a working, clickable prototype. 
‍

AI prototyping can also suggest layouts, flows, and components and lets you experiment without writing a single line of code. You can easily experiment with multiple design concepts and seamlessly transition from idea to testable prototype.
‍

You bring the design thinking. AI handles the build.
‍

‍

‍

‍

‍

Why AI Prototyping Matters for Product Teams

Product teams today are under pressure to ship faster without compromising quality. AI prototyping addresses one of the biggest bottlenecks in product development: turning ideas into something realistic enough to test.
‍

Instead of debating static mockups in meetings, you can put a clickable experience in front of users and make decisions based on evidence.
‍

‍

‍

‍

‍

Popular AI Prototyping Tools

Here are some widely used AI prototyping tools to explore:

• Figma Make
• Lovable
• Replit
• v0
• Bolt.new
• Base44
• Magic Patterns
  ‍

‍

‍

‍

How to Use AI Prototyping Tools with Optimal

AI prototyping gets you to a clickable experience quickly. Optimal helps you validate it with real users.

Here’s a step-by-step workflow to combine both:
‍

1. Generate your prototype
   
   • Prompt your AI tool with the desired layout or flow.
   • Publish and copy the shareable URL.
2. Create a Live Site Test in Optimal
   
   • Add your AI-generated prototype URL along with key tasks.
   • Recruit participants and observe real-time interactions.
3. Watch video recordings
   
   • Identify friction points, confusion, and usability issues.
4. Extra tip: Add recordings into Optimal Interviews
   
   • Import your live site testing recordings to Optimal Interviews.
   • Get automated insights and highlight reels powered by AI.
   • Dig deeper into your session with AI Chat.
5. Iterate and refine
   
   • Adjust your prototype based on insights.
   • Repeat testing.

‍

‍

‍

‍

Getting started 

Here’s how we recommend getting started. Pick something where you can experiment with low stakes and learn without pressure. Sign in to Optimal or sign up for a free trial and start testing. 

This isn’t about replacing design expertise. It’s about shifting time and energy toward understanding user needs and iterating based on evidence. AI can handle the heavy lifting of generating prototypes. Your team can focus on strategy, clarity, and experience quality.

The result? Faster validation. Smarter decisions. Better products. 

‍

Simply put, ResearchOps is about making sure your research operations are robust, thought through and managed. 

‍

Having systems and processes around your UX research and your team keep everyone (and everything) organized. Making user research projects quicker to get started and more streamlined to run. And robust sharing, socializing, and knowledge storage means that everyone can understand the research insights and findings and put these to use - across the organization. And even better, find these when they need them. 

‍

Using the same tools across the team allows the research team to learn from each other, and previous research projects and be able to compare apples with apples, with everyone included. Bringing the team together across tools, research and results.

‍

We go into more detail in our ebook ResearchOps Checklist about exactly what you can do to make sure your research team is running at its best. Let’s take a quick look at 5 way to ensure you have the grounding for a successful ResearchOps team.

‍

1. Knowledge management 📚

‍

What do you do with all of the insights and findings of a user research project? How do you store them, how do you manage the insights, and how do you share and socialize?

‍

Having processes in place that manage this knowledge is important to the longevity of your research. From filing to sharing across platforms, it all needs to be standardized so everyone can search, find and share.

‍

2. Guidelines and process templates 📝

‍

Providing a framework for how to run research projects is are important. Building on the knowledge base from previous research can improve research efficiencies and cut down on groundwork and administration. Making research projects quicker and more streamlined to get underway.

‍

3. Governance 🏛

‍

User research is all about people, real people. It is incredibly important that any research be legal, safe, and ethical. Having effective governance covered is vital.

‍

4. Tool stack 🛠

‍

Every research team needs a ‘toolbox’ that they can use whenever they need to run card sorts, tree tests, usability tests, user interviews, and more. But which software and tools to use?

‍

Making sure that the team is using the same tools also helps with future research projects, learning from previous projects, and ensuring that the information is owned and run by the organization (rather than whichever individuals prefer). Reduce logins and password shares, and improve security with organization-wide tools and platforms. 

‍

5. Recruitment 👱🏻👩👩🏻👧🏽👧🏾

‍

Key to great UX research is the ability to recruit quality participants - fast! Having strong processes in place for screening, scheduling, sampling, incentivizing, and managing participants needs to be top of the list when organizing the team.

‍

Wrap Up 💥

‍

Each of these ResearchOps processes are not independent of the other. And neither do they flow from one to the other. They are part of a total wrap around for the research team, creating processes, systems and tools that are built to serve the team. Allowing them to focus on the job of doing great research and generating insights and findings that develop the very best user experience. 

‍

Afterall, we are creating user experiences that keep our users engaged and coming back. Why not look at the teams user experience and make the most of that. Freeing time and space to socialize and share the findings with the organization. 

Creating successful products is tough. Whether you're gathering competitive intelligence before entering a market, discovering user needs for a brand new product, redesigning a website, optimizing a sign-up flow, or improving internal tools, the stakes are high.

‍

Poor user experiences cost businesses up to 35% of potential sales, while organizations that deliver superior experiences drive 5-6x more revenue. Optimal helps you turn user insights into better business decisions so you can deliver products your users love.

‍

From Discovery to Continuous Optimization

‍

Great products don’t just happen. They’re guided by real user feedback at every stage.

‍

Start with discovery.
Use live site testing to watch real users navigate competitor experiences or test early concepts in staging environments. Combine this with surveys and interview insights to understand what users actually need. Validate navigation and information architecture with card sorting and tree testing.

‍

Validate before you build.
With prototype testing, you can connect to Figma or create clickable prototypes in minutes or use live site testing to test a website or web app in a staging environment. Identify pain points early and fix them before development.

‍

Continuously optimize.
Even after launch, the best experiences evolve with their users. Ongoing testing, surveys, and interviews can reveal opportunities to refine and grow, keeping your product relevant and effective.

But nothing beats seeing users interact with your actual site. With Optimal’s newest tool - live site testing - you can see how users engage with your actual websites or web apps or even a competitor's. No guesswork, no assumptions.

‍

Introducing Live Site Testing

‍

‍

We’re excited to announce live site testing has officially joined Optimal’s platform! Here’s what makes it powerful:

‍

• Test any live site. Yes, any.
  ‍Understand exactly how users interact with your website or web app in a production or staging environment or gain valuable insights by testing a competitor’s site.
  ‍
• ‍No code. No friction.
  Unlike many other live site testing tools, with Optimal, setup takes minutes. There's no plugins or technical hurdles for you or your testers. Just paste a URL to set up your test and start testing.
  ‍
• ‍Validate at every stage.
  Catch issues before they cost you conversions. Identify blockers pre-launch on staging sites or improve existing user flows on live sites.
  ‍
• ‍Video recordings with real insights
  Watch exactly where users hesitate, struggle, or abandon their journey. Back every decision with user feedback and evidence and confidently prioritize your next decisions.‍‍
  ‍

Why This Matters

‍

With live site testing, you get real insights from real user interactions beyond quantitative data.

‍

The result?

• Better competitive insights and analysis
• Fewer surprises post-launch
• Improved usability
• Higher conversion or adoption rates
• Increased user or customer satisfaction
• Faster, data-backed decisions
  ‍

Live site testing is now available for all plans, except for our legacy Individual plan. 

‍

Already an Optimal user? Log in now to start testing your websites and web apps. 

Not yet using Optimal? Get started with a free trial to try it for yourself.