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Research

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1 min read

What is ResearchOps?

Back in early 2018, user researchers from around the globe got together to try and define an emerging practice – ResearchOps. The project eventually grew into a significant research effort called #WhatisResearchOps, involving 34 workshops, a survey that garnered over 300 responses and reams of analysis.

The goal was quite simple. Generate conversation around the work that researchers do in order to support them as research grows, with an eye toward standardizing common research practices. It’s an important undertaking: a report back carried out in 2017 found that 81 percent of executives agreed that user research made their organization more efficient. Further, 86 percent believed user research improved the quality of their products.

It’s clear that many organizations are starting to understand the value that user researchers bring to the table, it’s now up to the researchers to operationalize their practice. 

But for the uninitiated, what exactly is ResearchOps? And why should you care?

What is ResearchOps?

To start off, there’s not a lot of literature about ResearchOps as of early 2020. Right now, it’s a practice that can certainly be classed as ‘emerging’. This is partly why we’re writing about it. We want to add our own kindling to the ResearchOps conversation fire.

ResearchOps as a practice has 2 main goals:

  • Socialize research: Make it easier for the people in an organization to access the insights generated by user research, and allow them to actively take part in research activities.
  • Operationalize research: Standardize templates, processes and plans to reduce research costs and the time required to get research projects off the ground.

Or, as Vidhya Sriram explains in the post we linked above, ResearchOps “democratizes customer insights, takes down barriers to understand customers, and makes everyone take responsibility for creating remarkable customer experiences.”

ResearchOps certainly hasn’t achieved anything close to ‘mainstream’ understanding yet, so in order to give ResearchOps the best chance of succeeding, it’s quite helpful to look at another ‘Ops’ practice – DesignOps.

As 2 ‘operations’ focused initiatives, DesignOps and ResearchOps share a lot of the same DNA. According to Nielsen Norman’s DesignOps 101 article, DesignOps “refers to the orchestration and optimization of people, processes, and craft in order to amplify design’s value and impact at scale”. Author Kate Kaplan goes on to flesh out this description, noting that it’s a term for addressing such issues as growing or evolving design teams, onboarding people with the right design skills, creating efficient workflows and improving design outputs. Sound familiar?

The world of DesignOps is a veritable smorgasbord of useful learnings for researchers looking to grow the practice of ResearchOps. One particularly useful element is the idea of selecting only the components of DesignOps that are relevant for the organization at that point in time. This is quite important. DesignOps is a broad topic, and there’s little sense in every organization trying to take on every aspect of it. The takeaway, DesignOps (and ResearchOps) should look very different depending on the organization.

Kate Kaplan also touches on another useful point in her Nielsen Norman Group article; the idea of the DesignOps menu:

An image of the DesignOps Menu, by Nielsen Norman Group.
Source: Nielsen Norman Group | Caption: The DesignOps Menu.

This menu essentially outlines all of the elements that organizations could focus on when adopting practices to support designers. The DesignOps Menu is a useful framework for those trying to create a similar list of elements for ResearchOps.

Why does ResearchOps matter now?

It’s always been difficult to definitively say “this is the state of user research”. While some organizations intimately understand the value that a focus on customer centricity brings (and have teams devoted to the cause), others are years behind. In these lagging organizations, the researchers (or the people doing research), have to fight to prove the value of their work. This is one of the main reasons why ResearchOps as an initiative matters so much right now.

The other driver for ResearchOps is that the way researchers work together and with other disciplines is changing fast. In general, a growing awareness of the importance of the research is pushing the field together with data science, sales, customer support and marketing. All this to say, researchers are having to spend more and more time both proving the value of their work and operating at a more strategic level. This isn’t likely to slow, either. The coming years will see researchers spending less time doing actual research. With this in mind, ResearchOps becomes all the more valuable. By standardizing common research practices and working out ownership, the research itself doesn’t have to suffer.

What are the different components of ResearchOps?

As we touched on earlier, ResearchOps – like DesignOps – is quite a broad topic. This is necessary. As most practicing researchers know, there are a number of elements that go into ensuring thorough, consistent research.

A useful analogy for ResearchOps is a pizza. There are many different components (toppings) that can go on the pizza, which is reflected in how research exists in different organizations. The real point here is that no 2 research operations should look the same. Research at Facebook will look markedly different to research at a small local government agency in Europe.

We looked at the DesignOps Menu earlier as a model for ResearchOps, but there’s another, more specific map created as part of the #WhatisResearchOps project.

An image of the ResearchOps components map by MURAL.
Source: Medium/Mural |  Caption: The ResearchOps components map.

Like the DesignOps Menu, this map functions as a framework for what ResearchOps is. It’s the output of a series of workshops run by researchers across the globe as well as a large survey.

Who practices ResearchOps?

By now you should have a clear idea of the scale and scope of ResearchOps, given that we’ve covered the various components and why the practice matters so much. There are still 2 important topics left to cover, however: Who practices ResearchOps and (perhaps most interestingly) where it’s heading.

As the saying goes, “everyone’s a researcher”, and this certainly holds true when talking about ResearchOps, but here are some of the more specific roles that should be responsible for executing ResearchOps components.

  • User researchers – Self-explanatory. The key drivers of research standardization and socialization.
  • UX designers – Customer advocates to the core, UX designers follow user researchers quite closely when it comes to execution.
  • Designers – Add to that, designers in general. As designers increasingly become involved in the research activities of their organizations, expect to see them having a growing stake in ResearchOps activities.
  • Customer experience (CX) and marketing – Though they’re often not the foremost consideration when it comes to research conversations, marketing and CX certainly have a stake in research operations

There’s also another approach that is worth considering: Research as a way of thinking. This can essentially be taken up by anyone, and it boils down to understanding the importance of a healthy research function, with processes, systems and tools in place to carry out research.

What’s next for ResearchOps?

As Kate Kaplan said in DesignOps 101, “DesignOps is the glue that holds the design organization together, and the bridge that enables collaboration among cross-disciplinary team members”. The same is true of ResearchOps – and it’s only going to become more important. 

We’re going to echo the same call made by numerous other people helping to grow ResearchOps and say that if you’ve got some learnings to share, share them back with the community! We’re also always looking to share great UX and research content, so get in touch with us if you’ve got something to share on our blog.

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1 min read

5 ways to increase user research in your organization

Co-authored by Brandon Dorn, UX designer at Viget.As user experience designers, making sure that websites and tools are usable is a critical component of our work, and conducting user research enables us to assess whether we’re achieving that goal or not. Even if we want to incorporate research, however, certain constraints may stand in our way.

A few years ago, we realized that we were facing this issue at Viget, a digital design agency, and we decided to make an effort to prioritize user research. Almost two years ago, we shared initial thoughts on our progress in this blog post. We’ve continued to learn and grow as researchers since then and hope that what we’ve learned along the way can help your clients and coworkers understand the value of research and become better practitioners. Below are some of those lessons.

Make research a priority for your organization

Before you can do more research, it needs to be prioritized across your entire organization — not just within your design team. To that end, you should:

  • Know what you’re trying to achieve. By defining specific goals, you can share a clear message with the broader organization about what you’re after, how you can achieve those goals, and how you will measure success. At Viget, we shared our research goals with everyone at the company. In addition, we talked to the business development and project management teams in more depth about specific ways that they could help us achieve our goals, since they have the greatest impact on our ability to do more research.
  • Track your progress. Once you’ve made research a priority, make sure to review your goals on an ongoing basis to ensure that you’re making progress and share your findings with the organization. Six months after the research group at Viget started working on our goals, we held a retrospective to figure out what was working — and what wasn’t.
  • Adjust your approach as needed. You won’t achieve your goals overnight. As you put different tactics into action, adjust your approach if something isn’t helping you achieve your goals. Be willing to experiment and don’t feel bad if a specific tactic isn’t successful.

Educate your colleagues and clients

If you want people within your organization to get excited about doing more research, they need to understand what research means. To educate your colleagues and clients, you should:

  • Explain the fundamentals of research. If someone has not conducted research before, they may not be familiar or feel comfortable with the vernacular. Provide an overview of the fundamental terminology to establish a basic level of understanding. In a blog post, Speaking the Same Language About Research, we outline how we established a common vocabulary at Viget.
  • Help others understand the landscape of research methods. As designers, we feel comfortable talking about different methodologies and forget that that information will be new to many people. Look for opportunities to increase understanding by sharing your knowledge. At Viget, we make this happen in several ways. Internally, we give presentations to the company, organize group viewing sessions for webinars about user research, and lead focused workshops to help people put new skills into practice. Externally, we talk about our services and share knowledge through our blog posts. We are even hosting a webinar about conducting user interviews in November and we'd love for you to join us.
  • Incorporate others into the research process. Don't just tell people what research is and why it's important — show them. Look for opportunities to bring more people into the research process. Invite people to observe sessions so they can experience research firsthand or have them take on the role of the notetaker. Another simple way to make people feel involved is to share findings on an ongoing basis rather than providing a report at the end of the process.

Broaden your perspective while refining your skill set

Our commitment to testing assumptions led us to challenge ourselves to do research on every project. While we're dogmatic about this goal, we're decidedly un-dogmatic about the form our research takes from one project to another. To pursue this goal, we seek to:

  • Expand our understanding. To instill a culture of research at Viget, we've found it necessary to question our assumptions about what research looks like. Books like Erika Hall’s Just Enough Research teach us the range of possible approaches for getting useful user input at any stage of a project, and at any scale. Reflect on any methodological biases that have become well-worn paths in your approach to research. Maybe your organization is meticulous about metrics and quantitative data, and could benefit from a series of qualitative studies. Maybe you have plenty of anecdotal and qualitative evidence about your product that could be better grounded in objective analysis. Aim to establish a balanced perspective on your product through a diverse set of research lenses, filling in gaps as you learn about new approaches.
  • Adjust our approach to project constraints. We've found that the only way to consistently incorporate research in our work is to adjust our approach to the context and constraints of any given project. Client expectations, project type, business goals, timelines, budget, and access to participants all influence the type, frequency, and output of our research. Iterative prototype testing of an email editor, for example, looks very different than post-launch qualitative studies for an editorial website. While some projects are research-intensive, short studies can also be worthwhile.
  • Reflect on successes and shortcomings. We have a longstanding practice of holding post-project team retrospectives to reflect on and document lessons for future work. Research has naturally come up in these conversations, and many of the things we've discussed you're reading right now. As an agency with a diverse set of clients, it's been important for us to understand what types of research work for what types of clients, and when. Make sure to take time to ask these questions after projects. Mid-project retrospectives can be beneficial, especially on long engagements, yet it's hard to see the forest when you're in the weeds.

Streamline qualitative research processes 🚄

Learning to be more efficient at planning, conducting, and analyzing research has helped us overturn the idea that some projects merit research while others don't. Remote moderated usability tests are one of our preferred methods, yet, in our experience, the biggest obstacle to incorporating these tests isn't the actual moderating or analyzing, but the overhead of acquiring and scheduling participants. While some agencies contract out the work of recruiting, we've found it less expensive and more reliable to collaborate with our clients to find the right people for our tests. That said, here are some recommendations for holding efficient qualitative tests:

  • Know your tools ahead of time. We use a number of tools to plan, schedule, annotate, and analyze qualitative tests (we're inveterate spreadsheet users). Learn your tools beforehand, especially if you're trying something new. Tools should fade into the background during tests, which Reframer does nicely.
  • Establish a recruiting process. When working with clients to find participants, we'll often provide an email template tailored to the project for them to send to existing or potential users of their product. This introductory email will contain a screener that asks a few project-related demographic or usage questions, and provides us with participant email addresses which we use to follow-up with a link to a scheduling tool. Once this process is established, the project manager will ensure that the UX designer on the team has a regular flow of participants. The recruiting process doesn't take care of itself – participants cancel, or reschedule, or sometimes don't respond at all – yet establishing an approach ahead of time allows you, the researcher, to focus on the research in the midst of the project.
  • Start recruiting early. Don't wait until you've finished writing a testing script to begin recruiting participants. Once you determine the aim and focal points of your study, recruit accordingly. Scripts can be revised and approved in the meantime.

Be proactive about making research happen 🤸

As a generalist design agency, we work with clients whose industries and products vary significantly. While some clients come to us with clear research priorities in mind, others treat it as an afterthought. Rare, however, is the client who is actively opposed to researching their product. More often than not, budget and timelines are the limiting factors. So we try not to make research an ordeal, but instead treat it as part of our normal process even if a client hasn't explicitly asked for it. Common-sense perspectives like Jakob Nielsen’s classic “Discount Usability for the Web” remind us that some research is always better than none, and that some can still be meaningfully pursued. We aren’t pushy about research, of course, but instead try to find a way to make it happen when it isn't a definite priority.

World Usability Day is coming up on November 9, so now is a great time to stop and reflect on how you approach research and to brainstorm ways to improve your process. The tips above reflect some of the lessons we’ve learned at Viget as we’ve tried to improve our own process. We’d love to hear about approaches you’ve used as well.

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1 min read

Optimal vs. UserTesting: A Modern, Streamlined Platform or a Complex Enterprise Suite

The user research landscape has evolved significantly in recent years, but not all platforms have adapted at the same pace. UserTesting for example, despite being one of the largest players in the market, still operates on legacy infrastructure with outdated pricing models that no longer meet the evolving needs of mature UX, design and product teams. More and more we see enterprises choosing platforms like Optimal, because we represent the next generation of user research and insight platforms:  ones that are purpose-built for modern teams that are prioritizing agility, insight quality, and value.

What are the biggest differences between Optimal and UserTesting?

Cost

  • UserTesting is Expensive: UserTesting charges $5,000-$10,000 per user annually plus additional session-based fees, creating unpredictable costs that escalate the more research your team does. This means that teams often face budget surprises when conducting longer studies or more frequent research.
  • Optimal has Transparent Pricing: Optimal offers flat-rate pricing without per-seat fees or session units, enabling teams to scale research sustainbly. Our transparent pricing eliminates budget surprises and enables predictable research ops planning.

Return on Investment

  • Justifying the Cost of UserTesting: UserTesting's high costs and complex pricing structure make it hard to prove the ROI, particularly for teams conducting frequent research or extended studies that trigger additional session fees.
  • The Best Value in the Market: Optimal's straightforward pricing and comprehensive feature set deliver measurable ROI. We offer 90% of the features that UserTesting provides at 10% of the price.

Technology Evolution

  • UserTesting is Struggling to Modernize: UserTesting's platform shows signs of aging infrastructure, with slower performance and difficulty integrating modern research methodologies. Their technology advancement has lagged behind industry innovation.
  • Optimal is Purpose-Built for Modern Research: Optimal has invested heavily over the last few years in features for contemporary research needs, including AI-powered analysis and automation capabilities.

UserZoom Integration Challenges

  • UserZoom Integration Challenges: UserTesting's acquisition of UserZoom has created platform challenges that continue to impact user experience. UserTesting customers report confusion navigating between legacy systems and inconsistent feature availability and quality.
  • Built by Researchers for Researchers: Optimal has built from the ground up a single, cohesive platform without the complexity of merged acquisitions, ensuring consistent user experience and seamless workflow integration.

Participant Panel Quality

  • Poor Quality, In-House Panel: UserTesting's massive scale has led to participant quality issues, with researchers reporting difficulty finding high-quality participants for specialized research needs and inconsistent participant engagement.
  • Flexibility = Quality: Optimal prioritizes flexibility for our users, allowing our customers to bring their own participants for free or use our high-quality panels, with over 100+ million verified participants across 150+ countries who meet strict quality standards.

Customer Support Experience

  • Impersonal, Enterprise Support: Users report that UserTesting's large organizational structure creates slower support cycles, outsourced customer service, and reduced responsiveness to individual customer needs.
  • Agile, Personal Support: At Optimal we pride ourselves on our fast, human support with dedicated account management and direct access to product teams, ensuring fast and personalized support.

The Future of User Research Platforms

The future of user research platforms is here, and smart teams are re-evaluating their platform needs to reflect that future state. What was once a fragmented landscape of basic testing tools and legacy systems has evolved into one where comprehensive user insight platforms are now the preferred solution. Today's UX, product and design teams need platforms that have evolved to include:

  • Advanced Analytics: AI-powered analysis that transforms data into actionable insights
  • Flexible Recruitment: Options for both BYO, panel and custom participant recruitment
  • Transparent Pricing: Predictable costs that scale with your needs
  • Responsive Development: Platforms that evolve based on user feedback and industry trends

Platforms Need to Evolve for Modern Research Needs

When selecting a vendor, teams need to choose a platform with the functionality that their teams need now but also one that will also grow with the needs of your team in the future. Scalable, adaptable platforms enable research teams to:

  • Scale Efficiently: Grow research activities without exponential cost increaeses
  • Embrace Innovation: Integrate new research methodologies and analysis techniques as well as emerging tools like AI 
  • Maintain Standards: Ensure consistent participant, data and tool quality as the platform evolves
  • Stay Responsive: Adapt to changing business needs and market conditions

The key is choosing a platform that continues to evolve rather than one constrained by outdated infrastructure and complex, legacy pricing models.

Ready to see how leading brands including Lego, Netflix and Nike achieve better research outcomes? Experience how Optimal's platform delivers user insights that adapt to your team's growing needs.

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