August 16, 2026
5 minutes

The Next Evolution of Optimal Recruitment: More Control. More Precision. More Confidence.

When we spoke to study creators about what can cause a study to fail, the answer was rarely a methodology problem. It was recruitment.

If you've ever watched a study stall because the right participants didn't show up, you already know the problem we're trying to solve. The study is ready. The tasks are written. Stakeholders are waiting. And then recruitment breaks down. 

Participants trickle in too slowly. The participant quality isn’t quite right. The timeline shifts. Confidence in the findings edges downward.

Recruitment: a moving target

Recruitment has always been a moving target. There are endless ways to improve it – through reach, participant quality, fraud prevention, and ease of use. 

As part of our ongoing work to strengthen our recruitment offering, we’ve reimagined self-service recruitment at Optimal. We’ve taken a closer look at the experience and focused on giving research teams more options, greater control, and confidence in participant quality when recruiting participants.

What we heard from research teams

Across the teams we spoke to, several consistent themes emerged. Quality was a persistent concern. The issues were usually about fit. Participants sometimes didn’t meaningfully engage with the tasks or dropped off mid-session. 

"Niche" participants were referenced often as well. What was usually meant wasn't rare profiles but it was a combination of specific targeting and filters applied at once. Seniority plus industry plus behaviour plus location. Multiple criteria that some existing tools just didn't handle well.

On the coordination side, we heard a consistent ask: researchers want to know who they've already spoken to. They don't want to contact the same people repeatedly without realizing it. They're tired of managing participant lists manually just to avoid that problem.

In short: speed matters, but predictability, visibility, and participant quality matter more.

Built for real-world studies

We've rebuilt Optimal’s self-service recruitment from the ground up.

Participant Profiles: more flexibility and control

The centerpiece of the new experience is Participant Profiles. Build a profile for exactly who you need from demographics, location (down to the city), job title, seniority, company size, device, industry, B2B, language, and more. You’ll also have the ability to:

  • Run multiple profiles in a single study. If you need senior decision-makers from the UK and individual contributors from the US, you can define both profiles with separate quotas and recruit them simultaneously for the same study.

  • Set multiple quotas per profile. Define not just who you need, but how many of each. So if your study needs 30 brand managers and 20 operations managers, you can recruit for both.

  • Set exclusion controls. One of the clearest things we heard: researchers don't want to keep recruiting the same people. It can create a bias in their data, but managing participant history manually can be resource-intensive and tedious. Exclusion controls let you automatically exclude participants who've taken part in your studies within a set period; for example, the last three months.

More panels, more reach

To help research teams reach the right participants with greater reliability, Optimal’s self-service recruitment now draws from multiple panels. This increases the pool of available participants across regions and segments, giving research teams more opportunities to find the right fit even for more specific or multi-criteria profiles.

Access millions of participants across over 150 countries, with expanded targeting options beyond general population samples, including B2B audiences.

Visibility and predictability, from setup to launch

Before you launch, you'll see an estimated fill time, credit cost, and a feasibility check based on your profile and quotas. After launch, live recruitment progress sits alongside your study responses. You can see exactly how each profile quota is filling in real time.

Why this matters now

The teams we spoke to are running more ambitious studies than ever – recorded sessions, concept tests, and studies that sit between a quick survey and a full moderated interview. These studies demand reliable, targeted, well-matched participants. Recruitment is often the deciding factor in whether a study succeeds.

Recruitment has always been the part of research that feels the least in your control. We want to change that, not adding more complexity, but by giving you the right tools to recruit exactly who you need.

You should be able to see what's happening, trust that the right people are coming through, and stay focused on your study. Get the confidence in your participants so you can focus on what comes next: the decisions that matter.

Profiles are now available in Optimal’s Usability Testing tool and will be rolling out across the rest of the platform.

Explore the new recruitment experience in your account or book a demo.

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A Look at Rally + Optimal: From Recruitment to Real Insights

A well-maintained participant panel is more than a time-saver. It sets your team up for better research from day one. The people you recruit and how you track, segment, and manage those relationships over time directly shapes how reliable your findings are.  

With the right setup in place, you can move forward with confidence, knowing that these participants meet your criteria, aren’t overused, and can bring fresh perspectives to each study.

Tools like Rally UXR bring that structure to participant recruitment. It helps you build and manage your own participant panel, keep track of consent and contact history, coordinate logistics, and stay on top of all the moving parts. You can also see things like incentive history and email engagement, making it much easier to decide who to invite and when.

But recruitment is just the starting point. The real value comes next: running the research and turning participant feedback into insights you can actually use.

Using Rally + Optimal together


Whether you’re running unmoderated studies, testing designs, navigation, or content, or conducting usability testing calls, having the right research tools in place is critical. If you’re already using Rally, pairing it with Optimal can connect the dots from recruitment through to insights, without adding friction to your workflow.

You can also use Optimal’s on-demand or custom managed recruitment services, though Rally’s strength lies in building your own custom panel and database.

Here’s how to combine Rally and Optimal into a smooth, efficient research workflow.

Start with intentional recruitment


Define your participant criteria in Rally. Use screening questions not just to qualify participants. Think beyond “does this person qualify?” and start building segments you can reuse: power users vs. casual users, returning users vs. first-timers, people familiar with the old design vs. new. These segments can make it easier to run focused studies and compare results over time.

Build your study in parallel


A simple shift that makes a big difference: don’t wait. Build your study in Optimal before sending invites from Rally. This ensures that when participants are ready, the link can be dropped into Rally, and distribution happens the moment you're ready.

Use the strengths of each platform


Rally handles the relationship and profile management: who's been invited, who's confirmed, who needs a reminder, screener and survey history, consent forms, and more. Optimal handles the research: collecting quantitative and qualitative data, visualising patterns, quantifying usability issues, automating insights with AI, and surfacing the metrics and insights that actually answer your research question. 

With Optimal, you can immediately put Rally-recruited participants into studies including:

  • Prototype testing
  • Live site testing 
  • Card sorting
  • Tree testing
  • First-click testing
  • Surveys

Keep your insights in one place


When it comes to research, scattered insights = lost impact. Using Optimal as your central hub for results, recordings, and analysis makes it easier to share findings with your team and stakeholders, track progress over time, and back up decisions with real evidence. 

The tools you use for recruitment and the tools you use for research aren't just operational choices. They shape your research culture. When recruitment and research are both well-structured, everything runs more smoothly. Teams that invest in structure on both ends of the workflow tend to produce research that's faster, more credible, and more likely to influence decisions. 

Rally and Optimal are powerful on their own. Together, they create a workflow that’s scalable, insight-driven, and built for continuous discovery.

If you're not yet using Optimal, you can start a free trial or book a demo.

Learn more
1 min read

The Future of AI-Powered Research Is Here: Introducing Optimal's Model Context Protocol (MCP)

Nearly 18 years ago, Optimal helped define what UX research could be, pioneering practices and tools that would become industry standard and change how teams worldwide better understand their users. As the industry has evolved, so has Optimal, expanding the platform, advancing participant recruitment, and building Optimal Intelligence AI to accelerate insight to action.

Now, we’re at the edge of another major shift. With the launch of the Model Context Protocol (MCP), we’re entering a new realm, moving from traditional research workflows to AI-powered intelligence.

What is MCP (Model Context Protocol)?


Research data is one of the most valuable assets in any organization, but until now, it has been scattered across studies and reports, time-consuming to search and synthesize, and different to search or reuse. MCP now changes that for research teams. 

Model Context Protocol (MCP) enables you to connect your Optimal research directly to AI tools, like ChatGPT, Claude, or Cursor, to explore and analyze your data seamlessly. Insights can go beyond data downloads, dashboards, or static reports. Access your insights and explore further with natural conversation.

Get instant insights for questions like: 

  • “Based on all the research I’ve run in Optimal, what are the biggest UX opportunities for our product?” 
  • “What usability issues have been identified by studies conducted in the past 3 months?”
  • “What themes appear across onboarding studies?”
  • “What research already exists about navigation improvements?”

What MCP Unlocks (Beyond Search)


With MCP-connected tools, you can:

  • Analyze studies: Understand patterns, findings, and trends across research automatically.
  • Cross-study synthesis: Identify recurring themes across multiple studies in seconds.
  • Pull key insights: Extract findings from individual studies without manual review.
  • Search & explore research: Filter studies by creator, title, participant group, or timeframe.
  • Analyze transcript insights & sessions: Surface usability issues, pain points, and behavioral patterns.
  • Turn insights into deliverables: Automatically format findings into summaries and stakeholder-ready outputs. Get more ideas here.
  • Connect with other tools & workflows: Use MCP along with your AI tool's existing integrations to create alerts and automate next steps e.g. create a Slack notification when a participant completes a study, share milestones, create a JIRA ticket and follow-up tasks.

From Early UX Research to AI-Native Intelligence


The evolution is clear.


We started by helping teams understand users through early UX research methods.
We helped formalize how research is conducted, analyzed, and shared.

And now, with MCP in Optimal, we’re helping teams move beyond analysis altogether toward conversational, AI-driven research intelligence.

Log in to Optimal, connect with your AI tools, and get the most value from your research or book a demo to start building your research repository with Optimal.

Learn more
1 min read

The Next Evolution of Optimal Recruitment: More Control. More Precision. More Confidence.

When we spoke to study creators about what can cause a study to fail, the answer was rarely a methodology problem. It was recruitment.

If you've ever watched a study stall because the right participants didn't show up, you already know the problem we're trying to solve. The study is ready. The tasks are written. Stakeholders are waiting. And then recruitment breaks down. 

Participants trickle in too slowly. The participant quality isn’t quite right. The timeline shifts. Confidence in the findings edges downward.

Recruitment: a moving target

Recruitment has always been a moving target. There are endless ways to improve it – through reach, participant quality, fraud prevention, and ease of use. 

As part of our ongoing work to strengthen our recruitment offering, we’ve reimagined self-service recruitment at Optimal. We’ve taken a closer look at the experience and focused on giving research teams more options, greater control, and confidence in participant quality when recruiting participants.

What we heard from research teams

Across the teams we spoke to, several consistent themes emerged. Quality was a persistent concern. The issues were usually about fit. Participants sometimes didn’t meaningfully engage with the tasks or dropped off mid-session. 

"Niche" participants were referenced often as well. What was usually meant wasn't rare profiles but it was a combination of specific targeting and filters applied at once. Seniority plus industry plus behaviour plus location. Multiple criteria that some existing tools just didn't handle well.

On the coordination side, we heard a consistent ask: researchers want to know who they've already spoken to. They don't want to contact the same people repeatedly without realizing it. They're tired of managing participant lists manually just to avoid that problem.

In short: speed matters, but predictability, visibility, and participant quality matter more.

Built for real-world studies

We've rebuilt Optimal’s self-service recruitment from the ground up.

Participant Profiles: more flexibility and control

The centerpiece of the new experience is Participant Profiles. Build a profile for exactly who you need from demographics, location (down to the city), job title, seniority, company size, device, industry, B2B, language, and more. You’ll also have the ability to:

  • Run multiple profiles in a single study. If you need senior decision-makers from the UK and individual contributors from the US, you can define both profiles with separate quotas and recruit them simultaneously for the same study.

  • Set multiple quotas per profile. Define not just who you need, but how many of each. So if your study needs 30 brand managers and 20 operations managers, you can recruit for both.

  • Set exclusion controls. One of the clearest things we heard: researchers don't want to keep recruiting the same people. It can create a bias in their data, but managing participant history manually can be resource-intensive and tedious. Exclusion controls let you automatically exclude participants who've taken part in your studies within a set period; for example, the last three months.

More panels, more reach

To help research teams reach the right participants with greater reliability, Optimal’s self-service recruitment now draws from multiple panels. This increases the pool of available participants across regions and segments, giving research teams more opportunities to find the right fit even for more specific or multi-criteria profiles.

Access millions of participants across over 150 countries, with expanded targeting options beyond general population samples, including B2B audiences.

Visibility and predictability, from setup to launch

Before you launch, you'll see an estimated fill time, credit cost, and a feasibility check based on your profile and quotas. After launch, live recruitment progress sits alongside your study responses. You can see exactly how each profile quota is filling in real time.

Why this matters now

The teams we spoke to are running more ambitious studies than ever – recorded sessions, concept tests, and studies that sit between a quick survey and a full moderated interview. These studies demand reliable, targeted, well-matched participants. Recruitment is often the deciding factor in whether a study succeeds.

Recruitment has always been the part of research that feels the least in your control. We want to change that, not adding more complexity, but by giving you the right tools to recruit exactly who you need.

You should be able to see what's happening, trust that the right people are coming through, and stay focused on your study. Get the confidence in your participants so you can focus on what comes next: the decisions that matter.

Profiles are now available in Optimal’s Usability Testing tool and will be rolling out across the rest of the platform.

Explore the new recruitment experience in your account or book a demo.

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Explore our tools and see how Optimal makes gathering insights simple, powerful, and impactful.