How to create an effective customer journey map

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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.

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Limitations of traditional metrics

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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.

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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.

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Alternative measurement approaches

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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.

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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.

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Linking UXR to business outcomes

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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.

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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.

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Case studies of successful impact measurement

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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.

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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.

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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.

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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.

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Maximize UXR ROI with Optimal 

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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.

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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.

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Key benefits of using Optimal for improving UXR ROI include:

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

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• 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.

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

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• 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.

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

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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.

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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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"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"

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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!

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Creating remote research studies

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Use screener questions and post-study questions wisely

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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.

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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.

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Do a practice run

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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!

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Sending out remote research studies

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Manage expectations about how long the study will be open for

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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.

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Provide contact details and be open to questions

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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.

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Don’t forget to include the link!

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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.

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

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• 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)

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General tips for both creating and sending out remote research studies

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Know your audience

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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.

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Keep it brief

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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.

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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.

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Set clear instructions

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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!

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Create a template

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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!

If you missed our recent live training on Prototype Testing, don’t worry—we’ve got everything you need right here! You can catch up at your convenience, so grab a cup of tea, put your feet up, and enjoy the show.
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In the session, we explored the powerful new features of our Prototype Testing tool, offering a step-by-step guide to setting up, running, and analyzing your tests like a seasoned pro. This tool is a game-changer for your design workflow, helping you identify usability issues and gather real user feedback before committing significant resources to development.

Here’s a quick recap of the highlights:

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1. Creating a prototype test from scratch using images

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We walked through how to create a prototype test from scratch using static images. This method is perfect for early-stage design concepts, where you want to quickly test user flows without a fully interactive prototype.

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2. Preparing your Figma prototype for testing

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Figma users, we’ve got you covered! We discussed how to prepare your Figma prototype for the smoothest possible testing experience. From setting up interactions to ensuring proper navigation, these tips ensure participants have an intuitive experience during the test. For more detailed instructions, check out our help article 

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3. Seamless Figma prototype imports

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One of the standout features of the tool is its seamless integration with Figma. We showed how easy it is to import your designs directly from Figma into Optimal, streamlining the setup process. You can bring your working files straight in, and resync when you need to with one click of a button.

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4. Understanding usability metrics and analyzing results

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We explored how to analyze the usability metrics, and walked through what the results can indicate on click maps and paths. These visual tools allow you to see exactly how participants navigate your design, making it easier to spot pain points, dead ends, or areas of friction. By understanding user behavior, you can rapidly iterate and refine your prototypes for optimal user experience.

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