October 31, 2024
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Ready for take-off: Best practices for creating and launching remote user research studies

"Hi Optimal Work,I was wondering if there are some best practices you stick to when creating or sending out different UX research studies (i.e. Card sorts, Prototyye Test studies, etc)? Thank you! Mary"

Indeed I do! Over the years I’ve learned a lot about creating remote research studies and engaging participants. That experience has taught me a lot about what works, what doesn’t and what leaves me refreshing my results screen eagerly anticipating participant responses and getting absolute zip. Here are my top tips for remote research study creation and launch success!

Creating remote research studies

Use screener questions and post-study questions wisely

Screener questions are really useful for eliminating participants who may not fit the criteria you’re looking for but you can’t exactly stop them from being less than truthful in their responses. Now, I’m not saying all participants lie on the screener so they can get to the activity (and potentially claim an incentive) but I am saying it’s something you can’t control. To help manage this, I like to use the post-study questions to provide additional context and structure to the research.

Depending on the study, I might ask questions to which the answers might confirm or exclude specific participants from a specific group. For example, if I’m doing research on people who live in a specific town or area, I’ll include a location based question after the study. Any participant who says they live somewhere else is getting excluded via that handy toggle option in the results section. Post-study questions are also great for capturing additional ideas and feedback after participants complete the activity as remote research limits your capacity to get those — you’re not there with them so you can’t just ask. Post-study questions can really help bridge this gap. Use no more than five post-study questions at a time and consider not making them compulsory.

Do a practice run

No matter how careful I am, I always miss something! A typo, a card with a label in the wrong case, forgetting to update a new version of an information architecture after a change was made — stupid mistakes that we all make. By launching a practice version of your study and sharing it with your team or client, you can stop those errors dead in their tracks. It’s also a great way to get feedback from the team on your work before the real deal goes live. If you find an error, all you have to do is duplicate the study, fix the error and then launch. Just keep an eye on the naming conventions used for your studies to prevent the practice version and the final version from getting mixed up!

Sending out remote research studies

Manage expectations about how long the study will be open for

Something that has come back to bite me more than once is failing to clearly explain when the study will close. Understandably, participants can be left feeling pretty annoyed when they mentally commit to complete a study only to find it’s no longer available. There does come a point when you need to shut the study down to accurately report on quantitative data and you’re not going to be able to prevent every instance of this, but providing that information upfront will go a long way.

Provide contact details and be open to questions

You may think you’re setting yourself up to be bombarded with emails, but I’ve found that isn’t necessarily the case. I’ve noticed I get around 1-3 participants contacting me per study. Sometimes they just want to tell me they completed it and potentially provide additional information and sometimes they have a question about the project itself. I’ve also found that sometimes they have something even more interesting to share such as the contact details of someone I may benefit from connecting with — or something else entirely! You never know what surprises they have up their sleeves and it’s important to be open to it. Providing an email address or social media contact details could open up a world of possibilities.

Don’t forget to include the link!

It might seem really obvious, but I can’t tell you how many emails I received (and have been guilty of sending out) that are missing the damn link to the study. It happens! You’re so focused on getting that delivery right and it becomes really easy to miss that final yet crucial piece of information.

To avoid this irritating mishap, I always complete a checklist before hitting send:

  • Have I checked my spelling and grammar?
  • Have I replaced all the template placeholder content with the correct information?
  • Have I mentioned when the study will close?
  • Have I included contact details?
  • Have I launched my study and received confirmation that it is live?
  • Have I included the link to the study in my communications to participants?
  • Does the link work? (yep, I’ve broken it before)

General tips for both creating and sending out remote research studies

Know your audience

First and foremost, before you create or disseminate a remote research study, you need to understand who it’s going to and how they best receive this type of content. Posting it out when none of your followers are in your user group may not be the best approach. Do a quick brainstorm about the best way to reach them. For example if your users are internal staff, there might be an internal communications channel such as an all-staff newsletter, intranet or social media site that you can share the link and approach content to.

Keep it brief

And by that I’m talking about both the engagement mechanism and the study itself. I learned this one the hard way. Time is everything and no matter your intentions, no one wants to spend more time than they have to. Even more so in situations where you’re unable to provide incentives (yep, I’ve been there). As a rule, I always stick to no more than 10 questions in a remote research study and for card sorts, I’ll never include more than 60 cards. Anything more than that will see a spike in abandonment rates and of course only serve to annoy and frustrate your participants. You need to ensure that you’re balancing your need to gain insights with their time constraints.

As for the accompanying approach content, short and snappy equals happy! In the case of an email, website, other social media post, newsletter, carrier pigeon etc, keep your approach spiel to no more than a paragraph. Use an audience appropriate tone and stick to the basics such as: a high level sentence on what you’re doing, roughly how long the study will take participants to complete, details of any incentives on offer and of course don’t forget to thank them.

Set clear instructions

The default instructions in Optimal Workshop’s suite of tools are really well designed and I’ve learned to borrow from them for my approach content when sending the link out. There’s no need for wheel reinvention and it usually just needs a slight tweak to suit the specific study. This also helps provide participants with a consistent experience and minimizes confusion allowing them to focus on sharing those valuable insights!

Create a template

When you’re on to something that works — turn it into a template! Every time I create a study or send one out, I save it for future use. It still needs minor tweaks each time, but I use them to iterate my template.What are your top tips for creating and sending out remote user research studies? Comment below!

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Measuring the impact of UXR: beyond CSAT and NPS

In the rapidly evolving world of user experience research (UXR), demonstrating value and impact has become more crucial than ever. While traditional metrics like Customer Satisfaction (CSAT) scores and Net Promoter Scores (NPS) have long been the go-to measures for UX professionals, they often fall short in capturing the full scope and depth of UXR's impact. As organizations increasingly recognize the strategic importance of user-centered design, it's time to explore more comprehensive and nuanced approaches to measuring UXR's contribution.

Limitations of traditional metrics

CSAT and NPS, while valuable, have significant limitations when it comes to measuring UXR impact. These metrics provide a snapshot of user sentiment but fail to capture the direct influence of research insights on product decisions, business outcomes, or long-term user behavior. Moreover, they can be influenced by factors outside of UXR's control, such as marketing campaigns or competitor actions, making it challenging to isolate the specific impact of research efforts.

Another limitation is the lack of context these metrics provide. They don't offer insights into why users feel a certain way or how specific research-driven improvements contributed to their satisfaction. This absence of depth can lead to misinterpretation of data and missed opportunities for meaningful improvements.

Alternative measurement approaches

To overcome these limitations, UX researchers are exploring alternative approaches to measuring impact. One promising method is the use of proxy measures that more directly tie to research activities. For example, tracking the number of research-driven product improvements implemented or measuring the reduction in customer support tickets related to usability issues can provide more tangible evidence of UXR's impact.

Another approach gaining traction is the integration of qualitative data into impact measurement. By combining quantitative metrics with rich, contextual insights from user interviews and observational studies, researchers can paint a more comprehensive picture of how their work influences user behavior and product success.

Linking UXR to business outcomes

Perhaps the most powerful way to demonstrate UXR's value is by directly connecting research insights to key business outcomes. This requires a deep understanding of organizational goals and close collaboration with stakeholders across functions. For instance, if a key business objective is to increase user retention, UX researchers can focus on identifying drivers of user loyalty and track how research-driven improvements impact retention rates over time.

Risk reduction is another critical area where UXR can demonstrate significant value. By validating product concepts and designs before launch, researchers can help organizations avoid costly mistakes and reputational damage. Tracking the number of potential issues identified and resolved through research can provide a tangible measure of this impact.

Case studies of successful impact measurement

While standardized metrics for UXR impact remain elusive, some organizations have successfully implemented innovative measurement approaches. For example, one technology company developed a "research influence score" that tracks how often research insights are cited in product decision-making processes and the subsequent impact on key performance indicators.

Another case study involves a financial services firm that implemented a "research ROI calculator." This tool estimates the potential cost savings and revenue increases associated with research-driven improvements, providing a clear financial justification for UXR investments.

These case studies highlight the importance of tailoring measurement approaches to the specific context and goals of each organization. By thinking creatively and collaborating closely with stakeholders, UX researchers can develop meaningful ways to quantify their impact and demonstrate the strategic value of their work.

As the field of UXR continues to evolve, so too must our approaches to measuring its impact. By moving beyond traditional metrics and embracing more holistic and business-aligned measurement strategies, we can ensure that the true value of user research is recognized and leveraged to drive organizational success. The future of UXR lies not just in conducting great research, but in effectively communicating its impact and cementing its role as a critical strategic function within modern organizations.

Maximize UXR ROI with Optimal 

While innovative measurement approaches are crucial, having the right tools to conduct and analyze research efficiently is equally important for maximizing UXR's return on investment. This is where the Optimal Workshop platform comes in, offering a comprehensive solution to streamline your UXR efforts and amplify their impact.

The Optimal Platform provides a suite of user-friendly tools designed to support every stage of the research process, from participant recruitment to data analysis and insight sharing. By centralizing your research activities on a single platform, you can significantly reduce the time and resources spent on administrative tasks, allowing your team to focus on generating valuable insights.

Key benefits of using Optimal for improving UXR ROI include:

  • Faster research cycles: With automated participant management and data collection tools, you can complete studies more quickly, enabling faster iteration and decision-making.

  • Enhanced collaboration: The platform's sharing features make it easy to involve stakeholders throughout the research process, increasing buy-in and ensuring insights are actioned promptly.

  • Robust analytics: Advanced data visualization and analysis tools help you uncover deeper insights and communicate them more effectively to decision-makers.

  • Scalable research: The platform's user-friendly interface enables non-researchers to conduct basic studies, democratizing research across your organization and increasing its overall impact.

  • Comprehensive reporting: Generate professional, insightful reports that clearly demonstrate the value of your research to stakeholders at all levels.

By leveraging the Optimal Workshop, you're not just improving your research processes – you're positioning UXR as a strategic driver of business success. Our platform's capabilities align perfectly with the advanced measurement approaches discussed earlier, enabling you to track research influence, calculate ROI, and demonstrate tangible impact on key business outcomes.

Ready to transform how you measure and communicate the impact of your UX research? Sign up for a free trial of the Optimal platform today and experience firsthand how it can drive your UXR efforts to new heights of efficiency and effectiveness. 

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Get a headstart on your research with templates

We’re excited to announce our first six project templates are now available in Optimal Workshop! We understand that not everyone knows where to start with customer research, so these ready-made templates have been created with UX industry experts to give you the confidence to quickly launch studies and get the results you need to make data-driven decisions.  

Templates aren’t only a great solution for people who need guidance with which study type to use and when; our detailed templates also give you the tools to develop your IA thinking, compare the performance of studies over time, and get detailed project plans to guide you through your information architecture. 

How do templates work?

On the dashboard, you’ll see a new button called Browse Templates. From the templates menu, you can select a template that matches your use case, e.g. ‘I need to organise content into categories’. The templates are a helpful starting point, for you to adapt to suit your research goals. 

Let’s take a look at some of our favourite project templates. 

Organize content into categories

This template helps you design the best categories to organize your information based on how your  users think. It's useful for designing your product, website, or knowledge base experience, as well as re-evaluating any part of it. In this template, we will first conduct an open card sort, and then use that information to design a navigation structure that will be tested on end users.

1. First up run a card sort with OptimalSort

During this study, users will organise all information presented to them into categories they create themselves using an open card sort. This method is great for generating category ideas based on how users process this information allowing you to better design an experience in a more user-focused way. To find out more on how to set up your card sort, refer to our card sorting 101 guide.

2. Test your navigation structure with a Treejack

Based on the groupings that were produced from the card sort, you can now generate a hierarchy for your users to test using Treejack. Users search for the information you’ve categorised and represented as a hierarchy, which is valuable because it helps to confirm whether information placed within your hierarchy is findable and understandable.  

To learn more about tree testing, refer to our tree testing 101 guide.


Evaluate an existing navigation experience 

Regularly evaluating an existing navigation experience is a good way to monitor the health and performance of your website and product. This template is useful for both redesigning your experience and for re-evaluating part of it by helping you design ideal categories to organize your information based on how your target users think and improve findability and task completion. 

1. Start by identifying your top tasks using Reframer

Using Reframer, conduct interviews with various stakeholders in your business to evaluate and theme which tasks your organization believes are the most important within your existing environment. This is a solid first step towards building a list of top tasks for testing. Reframer allows you to easily visualize and group your observations by proximity using the affinity map.  

2. Survey users to understand their top tasks

Next, survey users to confirm their top tasks and identify any existing issues with our survey tool Questions. This will provide insight into what users believe are their top tasks and whether anything is getting in their way to achieve them. This step helps to ensure all design work is informed by up-to-date user tasks.

3. Design and test your current experience in Treejack  

Using the prioritised top tasks create a tree test using Treejack to test your navigation experience with your users. For example “How would you open a home loan” or “How would you upgrade your broadband plan” This will enable you to see how your users navigate your website in order to achieve the most business critical tasks in your organization. This is a valuable step that helps to identify information and design problems to solve early in the design process. 

More templates from our community

This is just the beginning of templates in Optimal Workshop and while we continue to add value and build up our collection, we’d love your input! If there are templates that you regularly use and think the community could benefit from, let us know at hello@optimalworkshop.com.

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Welcome to our latest addition: Prototype testing 🐣

Today, we’re thrilled to announce the arrival of the latest member of the Optimal family:  Prototype Testing! This exciting and much-requested new tool allows you to test designs early and often with users to gather fast insights, and make confident design decisions to create more intuitive and user-friendly digital experiences. 

Optimal gives you tools you need to easily build a prototype to test using images and screens and creating clickable areas, or you can import a prototype from Figma and get testing. The first iteration of prototype testing is an open beta, and we’ll be working closely with our customers and community to gather feedback and ideas for further improvements in the months to come.

When to use prototype testing 

Prototype testing is a great way to validate design ideas, identify usability issues, and gather feedback from users before investing too heavily in the development of products, websites, and apps. To further inform your insights, it’s a good idea to include sentiment questions or rating scales alongside your tasks.

Early in the design process: Test initial ideas and concepts to gauge user reactions and feelings about your conceptual solutions. 

Iterative design phases: Continuously test and refine prototypes as you make changes and improvements to the designs. 

Before major milestones: Validate designs before key project stages, such as stakeholder reviews or final approvals.

Usability Testing: Conduct summative research to assess a design's overall performance and gauge real user feedback to guide future design decisions and enhancements.

How it works 🧑🏽‍💻

No existing prototype? No problem. We've made it easy to create one right within Optimal. Here's how:

  1. Import your visuals

Start by uploading a series of screenshots or images that represent your design flow. These will form the backbone of your prototype.

  1. Create interactive elements

Once your visuals are in place, it's time to bring them to life. Use our intuitive interface to designate clickable areas on each screen. These will act as navigation points for your test participants.

  1. Set up the flow

Connect your screens in a logical sequence, mirroring the user journey you want to test. This creates a seamless, interactive experience for your participants.

  1. Preview and refine

Before launching your study, take a moment to walk through your prototype. Ensure all clickable areas work as intended and the flow feels natural.

The result? A fully functional prototype that looks and feels like a real digital product. Your test participants will be able to navigate through it just as they would a live website or app, providing you with authentic, actionable insights.

By empowering you to build prototypes from scratch, we're removing barriers to early-stage testing. This means you can validate ideas faster, iterate with confidence, and ultimately deliver better digital experiences.

Or…import your prototypes directly from Figma 

There’s a bit of housekeeping you’ll need to do in Figma in order to provide your participants with the best testing experience and not impact loading times of the prototype. You can import a link to your Figma prototype into your study,  and it will carry across all the interactions you have set up. You’ll need to make sure your Figma presentation mode is made public in order to share the file with participants. If you make any updates to your Figma file, you can sync the changes in just one click. 

Help Article: Find out more about how to set up your Figma file for testing

How to create tasks 🧰

When you set up your study, you’ll create tasks for participants to complete. 

There are two different ways to build tasks in your prototype tests. You can set a correct destination by adding a start screen and a correct destination screen. That way, you can watch how participants navigate your design to find their way to the correct destination. Another option is to set a correct pathway and evaluate how participants navigate a product, app, or website based on the pathway sequence you set. You can add as many pathways or destinations as you like. 

Adding post-task questions is a great way to help gather qualitative feedback on the user's experience, capturing their thoughts, feelings, and perceptions.

Help Article: Find out how to analyze your results

Prototype testing analysis and metrics 📊

Prototype testing offers a variety of analysis options and metrics to evaluate the effectiveness and usability of your design.  By using these analysis options and metrics, you can get comprehensive insights into your prototype's performance, identify areas for improvement, and make informed design decisions:

Task results 

The task results provide a deep analysis at a task level, including the success score, directness score, time taken, misclicks, and the breakdown of the task's success and failure. They provide great insight into the usability of your design to achieve a task. 

  • Success score tells you the total percentage of participants who reached the correct destination or pathway that you defined for this task. It’s a good indicator of a prototype's usability. 
  • Directness score is the total completed results minus the ‘indirect’ results.
  • A path is ‘indirect’ when a participant backtracks, viewing the same page multiple times, or if they nominate the correct destination but don’t follow the correct pathway
  • Time taken is how long it took a participant to complete your task and can be a good indicator of how easy or difficult it was to complete. 
  • Misclicks measure the total number of clicks made on areas of your prototype that weren’t clickable, clicks that didn’t result in a page change.

Clickmaps

Clickmaps provide an aggregate view of user interactions with prototypes, visualizing click patterns to reveal how users navigate and locate information. They display hits and misses on designated clickable areas, average task completion times, and heatmaps showing where users believed the next steps to be. Filters for first, second, and third page visits allow analysis of user behavior over time, including how they adapt when backtracking. This comprehensive data helps designers understand user navigation patterns and improve prototype usability.

Participant paths 

The Paths tab in Optimal provides a powerful visualization to understand and identify common navigation patterns and potential obstacles participants encounter while completing tasks. You can include thumbnails of your screens to enhance your analysis, making it easier to pinpoint where users may face difficulties or where common paths occured.

Coming soon to prototyping 🔮

Later this year, we’re running a closed beta for video recording with prototype testing. This feature captures behaviors and insights not evident in click data alone. The browser-based recording requires no plugins, simplifying setup. Consent for recording is obtained at the start of the testing process and can be customized to align with your organization's policies. This new feature will provide deeper insights into user experience and prototype usability.

These enhancements to prototype testing offer a comprehensive toolkit for user experience analysis. By combining quantitative click data with qualitative video insights, designers and researchers can gain a more nuanced understanding of user behavior, leading to more informed decisions and improved product designs.

Start prototype testing today

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