In today's rapidly evolving utility landscape, artificial intelligence  presents unprecedented opportunities to transform customer engagement strategies. However, as UX professionals in the energy and utilities sector, it's crucial to implement these technologies thoughtfully, balancing automation with the human touch that customers still expect and value.

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Understanding AI's Role in Customer Engagement

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The energy and utilities sector faces unique challenges: managing peak demand periods, addressing complex billing inquiries, and communicating effectively during outages. AI can help address these challenges by:

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• Managing routine inquiries at scale: Chatbots and virtual assistants can handle common questions about billing, service disruptions, or energy-saving tips, freeing human agents for more complex issues.
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• Personalizing customer communications: AI can analyze consumption patterns to deliver tailored energy-saving recommendations or alert customers to unusual usage.
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• Streamlining service processes: Smart algorithms can help schedule maintenance visits or process service changes more efficiently.

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Finding the Right Balance: AI and Human Interaction

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While AI offers significant advantages, implementation requires careful consideration of when and how to deploy these technologies:

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Where AI Excels:

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• Initial customer triage: Directing customers to the right department or information resource
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• Data analysis and pattern recognition: Identifying trends in customer behavior or service issues
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• Content creation foundations: Generating initial drafts of communications or documentation
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• 24/7 basic support: Providing answers to straightforward questions outside business hours

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Where Human Expertise Remains Essential:

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• Complex problem resolution: Addressing unique or multifaceted customer issues
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• Emotional intelligence: Handling sensitive situations with empathy and understanding
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• Content refinement: Adding nuance, brand voice, and industry expertise to AI-generated content
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• Strategic decision-making: Determining how customer engagement should evolve

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Implementation Best Practices for UX Professionals

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As you consider integrating AI into your customer engagement strategy, keep these guidelines in mind:

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1. Start with clear objectives: Define specific goals for your AI implementation, whether it's reducing wait times, improving self-service options, or enhancing personalization.
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2. Design transparent AI interactions: Customers should understand when they're interacting with AI versus a human agent. This transparency builds trust and sets appropriate expectations.
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3. Create seamless handoffs: When an AI system needs to transfer a customer to a human agent, ensure the transition is smooth and context is preserved.
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4. Continuously refine AI models: Use feedback from both customers and employees to improve your AI systems over time, addressing gaps in knowledge or performance.
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5. Measure both efficiency and effectiveness: Track not just cost savings or time metrics but also customer satisfaction and resolution quality.

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Leveraging Optimal for AI-Enhanced Customer Engagement

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Optimal's user insights platform can be instrumental in ensuring your AI implementation truly meets customer needs:

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Tree Testing

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Before implementing AI-powered self-service options, use Tree Testing to validate your information architecture:

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• Test whether customers can intuitively navigate through AI chatbot decision trees
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• Identify where users expect to find specific information or services
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• Optimize the pathways customers use to reach solutions, reducing frustration and abandonment

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Card Sorting

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When determining which tasks should be handled by AI versus human agents:

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• Conduct open or closed card sorting exercises to understand how customers naturally categorize different service requests
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• Discover which functions customers feel comfortable entrusting to automated systems
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• Group related features logically to create intuitive AI-powered interfaces that align with customer mental models

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First-Click Testing

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For AI-enhanced customer portals and apps:

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• Test whether customers can quickly identify where to begin tasks in your digital interfaces
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• Validate that AI-suggested actions are clearly visible and understood
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• Ensure critical functions remain discoverable even as AI features are introduced

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Surveys

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Gather crucial insights about customer comfort with AI:

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• Measure sentiment toward AI-powered versus human-provided services
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• Identify specific areas where customers prefer human interaction
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• Collect demographic data to understand varying preferences across customer segments

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Qualitative Insights

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During the ongoing refinement of your AI systems:

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• Capture qualitative observations during user testing sessions with AI interfaces
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• Tag and categorize recurring themes in customer feedback
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• Identify patterns that reveal opportunities to improve AI-human handoffs

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Prototype Testing

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When developing AI-powered customer interfaces for utilities:

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• Test early-stage prototypes of AI chatbots and virtual assistants to validate conversation flows before investing in full development
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• Capture video recordings of users interacting with prototype AI systems to identify moments of confusion during critical utility tasks like outage reporting or bill inquiries
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• Import wireframes or mockups of AI-enhanced customer portals from Figma to test user interactions with energy usage dashboards, bill payment flows, and outage reporting features

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Looking Forward

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As AI capabilities continue to evolve, the most successful utility companies will be those that thoughtfully integrate these technologies into their customer engagement strategies. The goal isn't to replace human interaction but to enhance it, using AI to handle routine tasks while enabling your team to focus on delivering exceptional service where human expertise, creativity, and empathy matter most.

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By taking a balanced approach to AI implementation, supported by robust UX research tools like those offered by Optimal, UX professionals in the energy and utilities sector can create more responsive, personalized, and efficient customer experiences that meet the needs of today's consumers while preserving the human connection that remains essential to building lasting customer relationships.

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In our latest live training session product experts, Pete and Caitlin, take us on a deep dive into the new and improved qualitative analysis tool Reframer.

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The session is loaded with tips and demo’s on how to save time and streamline your qualitative research all within one tool.  They also discuss best practices for setting up and conducting user interviews, and how to get the most out of your analysis.

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The only tool you need to power your entire qualitative research workflow is here. We’re excited to announce the new and improved Reframer is now live for all customers!

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What is qualitative research?

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It’s an integral part of any research journey. Think: customer or stakeholder interviews, prototype testing, A/B testing, moderated interviews, and open-ended questions. In a nutshell, it’s anything that isn’t a closed question.

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It’s also the most popular research method – 85% of people who do research conduct interviews and usability tests as part of their projects or workflows.

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How can Reframer help me with my qualitative research?

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It’s no secret that anyone conducting research is time-poor. Qualitative research is especially time-consuming and messy, as it’s almost always conducted across multiple tools or mediums. 

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Reframer gives you your time back, and enables you to manage your entire qualitative research workflow within one single tool. 

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From setting up and conducting interviews, through to analyzing your data – you can uncover those juicy insights in days, not weeks (or months) without ever having to leave the Optimal Workshop app.

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Powerful, in depth tagging and analysis tools

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Analyzing and making sense of your interview or usability testing data with Reframer is easy and flexible (not to mention very aesthetically pleasing!)  

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Visualize and group observations with the affinity map

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Affinity mapping is a flexible and visual way to quickly group, organize and make sense of qualitative data (i.e. post-its and whiteboards). 

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With Reframer, affinity mapping is more powerful than ever. Your observations, tags and themes are all connected and stored in one place. It’s easy to search and filter your data, group like observations by proximity, then review and sort them in table format. 

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Discover patterns with the theme builder

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The Themes tab offers tag-based analysis with powerful filters. It enables you to explore the relationships between your observations and then create themes based on these relationships. This gives you more quantifiable results to support the qualitative, observation-based analysis that you’ve done in the affinity map. 

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Explore connections between tags with the chord diagram

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The chord diagram is a beautifully visual way to easily explore the relationships between your tagged observations and spot key themes. 

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If you’ve got a lot of tags, it may look a little overwhelming to start with. But don’t let that fool you – it’s easy to get the hang of, and once you do, you’ll wonder how you ever analyzed data without it!

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Real-time collaboration with your team

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We recommend that you conduct qualitative research as a team, whenever you can. Reframer makes this easy – it was built with collaboration in mind. 

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Invite study members

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On an Optimal Workshop team plan, you can work together from start to finish. Team members can take notes and create or use tags during interview sessions. In the affinity map, you can work collaboratively to group and edit observations in real-time. 

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Invite guest notetakers

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If you just need an extra helping hand with taking notes during your interviews or usability tests, you can invite guest notetakers to your sessions. Guest notetakers can take notes in the sessions you invite them to, but can’t see notes taken by others or analyze data.

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The guest notetakers feature is a great way to involve your wider team or stakeholders in your user research activities.

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Share your findings

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Need the raw data from your interviews? Want to share your affinity map visuals with other team members? Both are easily downloadable with the click of a button!

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An intuitive, end-to-end workflow

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When it comes to conducting qualitative research, Reframer is faster, easier and tidier than using other digital (or manual) tools. It houses all your data and insights in one place and supports the collaborative nature of qualitative research. 

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It’s not just for seasoned researchers either. We’ve put special focus on ensuring that the analysis is easy to learn for anyone doing qualitative research, regardless of skill level. And our in-app guidance will have you up to speed in no time.

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So what are you waiting for? Login now and get started on your Reframer journey!

Over the past year, we've been busy getting ready to bring Reframer v2 out of beta. After implementing a ton of feedback from our superb beta users and plenty of usability testing, the day has finally arrived. It's time to say bye-bye beta!

What is Reframer v2 beta?

Reframer v2 is a connected, collaborative and flexible workflow for your qualitative research and analysis. It allows you to capture, code, group, visualize and analyze your data within one single tool. And it's now available to all Optimal Workshop customers on a paid plan!

Conducting user interviews or usability tests? Reframer v2 is your new best friend.

To all the Reframer users out there, you'll be chuffed to know that we've taken the best bits of the original tool and added better analysis and collaboration (among other things). We think you'll really enjoy using Reframer v2 (and there's plenty of help to get you up and running in no time).

Why should I use Reframer v2?

We made it our mission to alleviate those pesky pain points that so many researchers have when conducting qualitative analysis.

No more context switching

Observations, notes and metadata spread across different tools? No thanks. There's no need for multiple platforms anymore.

Reframer v2 offers an intuitive end-to-end qualitative research workflow within one tool. Create and conduct interview sessions, capture notes, tag, group, theme, analyze, and collaborate without having to leave the app.

Detailed insights at your fingertips

With all your juicy data living in different tools, it can be pretty tricky to filter and gain in-depth insight.

Reframer v2 doesn't take a "one size fits all" approach. It's specifically built for qualitative research, with all your metadata and context in one place, all easily searchable with powerful filters.

Analyze your data your way

When you're ready for analysis, you don't want to be stuck doing it one way or the other.

We've added two different analysis methods to Reframer v2. Affinity mapping helps you with observation-based analysis, which is flexible, visual and collaborative. While the Themes tab offers tag-based analysis with powerful filters, giving you more quantifiable results.

Collaborate in real-time

Collaboration is key during qualitative research and analysis.

You can work together with your team members in Reframer v2. Simply invite them to your study and any edits or notes they make will show on the affinity map in real-time. You can also see their activity in the Study Members tab.

What will happen to the original Reframer?

Reframer v1 will be turned off eventually, and Reframer v2 will simply become Reframer. But we want to make sure that v2 is up to scratch, your data is safe and sound, and you're confident in using v2 before that happens.

Take a look at the next steps of the Reframer v2 release:

June 2022

Reframer v2 is rolled out to all paid customers. Based on feedback, we'll continue to build in and iterate on the most requested features. Reframer v2 will be the default for all new paid users, but current users can continue to toggle between v1 and v2.

Oct 2022

Reframer v2 is rolled out to all customers and is the default for all users. All studies in legacy Reframer will be moved into v2. Paid customers will have access to the full feature set, free users will have access to a limited version of the tool.

Early 2023 (date TBC)

Legacy Reframer is turned off and v2 becomes the new (and only) Reframer.

So there you have it! We're really excited to have Reframer v2 in front of all our paid customers, and we can't wait to hear what you think of it. If you've got suggestions or thoughts (good, bad or ugly), we want to know! Simply click the Feedback icon in the header and voila!

Please note: This tool is a work in progress and isn’t yet available to all Optimal Workshop customers. If you’d like to opt in to the beta, pop down to the bottom of this article to find out more.

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The ability to collect robust and trustworthy qualitative analysis is a must for any team who conducts user research. But so often, the journey to getting those juicy insights is time-consuming and messy. With so many artefacts – usually spread across multiple platforms and mediums – trying to unearth the insights you set out to get can feel overwhelming.

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Since launching Reframer in 2019, we’ve had some great feedback from our users and the community. This feedback has led to the development of the beta version of Reframer v2 – in which we’ve expanded the note taking and tagging capabilities, as well as building a more powerful and flexible analysis functionality: affinity mapping.

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What is Reframer v2 beta? 🤨

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Simply put, Reframer v2 is a workflow that houses your data and insights all in one place. Yes, that’s right! No more context switching between various platforms or tabs. It’s an end-to-end qualitative analysis workflow that allows you to capture, code, group and visualize your data.

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We’ve put a lot of focus into making sure that the analysis side of things is easy to learn and understand, regardless of your experience level. It’s also more flexible and better suited to qualitative research with data sets both big and small.

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What’s the difference between Reframer and v2 beta? 😶🌫️

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The main difference is the analysis workflow. Reframer’s tag-based theme builder has been replaced with an affinity map-based workflow in v2 beta.

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The rest of the workflow remains mostly the same, though there are a couple of key differences.

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User interface and set up 📲

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While the activities within the set up and capture phase remain the same, we’ve updated the user interface to better reflect the qualitative research workflow.

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All set up related actions (study overview, tasks, tags, segments, and study members) now live together under one tab – ‘Setup’.

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You’ll find your sessions and all the observation data you’ve collected in the ‘Sessions’ tab.

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Guest notetakers ✍️

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For now, we’ve disabled the ability to invite guest notetakers who don’t hold an Optimal Workshop license. That’s not to say this won’t be reintroduced at some stage in the future, though. And of course, your team members who do have a license will be able to collaborate, take notes and analyze data.

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Say hello to affinity mapping 📍🗺️

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The biggest (and the best) difference between Reframer and v2 beta is the analysis workflow. In Reframer, themes are created by combining filters and tags. In Reframer v2 beta, themes are created by grouping observations in the affinity map.

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Affinity mapping is a flexible and visual way to quickly group, organize and make sense of qualitative data. It’s a popular method amongst research practitioners of all experience levels, though it’s usually conducted in a standalone tool outside of where the raw data is captured, organized, tagged and stored.

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Reframer v2 beta makes affinity mapping more powerful and user-friendly than ever – giving you the ability to search and filter your data, and have your observations, tags, and themes all connected and stored in one place.

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What exactly does ‘beta’ mean in this case? 🙂⃤

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It means that Reframer v2 is still very much a work in progress and isn’t yet available to all Optimal Workshop users. We’re continuing to develop new functionality that will complete the qualitative data analysis workflow and, if you’re part of the beta, you can expect to see new features and changes being rolled out in the coming months. 

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There may be a few bugs along the way, and we know the current name doesn’t exactly roll off the tongue so standby for a rebrand of the tool name once it’s ready for general consumption!

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We need your help! 🆘

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Want to help us make Reframer v2 beta really, really great? We’d love that. We here at Optimal Workshop rely on your thoughts, opinions and feedback to build and update our tools so they benefit those who matter most: you.

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If you’d like to opt into the beta, sign up here.

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And if you’d like to get down into the nitty gritty about the what, why and how of Reframer v2 beta, check out our Help Center articles here.

Qualitative user research is just as important a part of rounding out your user research as quantitative. But unlike quantitative research, the data insights can only be as good as the note-taking. This can mean that the way you do your note-taking may have a huge impact on the insights that are taken from the data. We’ll take a look at what qualitative research is, the methods for recording notes in the session and some tips on making sure your notes are robust.

What is qualitative research

Quantitative research such as card sorting or tree testing looks at the 'what' and 'how' of users who want to use your product, qualitative research looks into the why.

Making the most of your users research means you shouldn't only look at what or how users want to experience your product but also why they made those decisions. This depth of knowledge and understanding can ultimately enrich the user experience (UX) and improve your product engagement.

The type of qualitative research that we’ll be talking about is primarily in-person interviews with participants. It includes behavioural observations while completing set tasks and responding to a set of questions relating to the product.

When interviewing participants it is important to have a script, and to stick to that script. This will help drive the interview and ensure you get to the bottom of ‘why’ users are making decisions. Your focus should be on your participant, noticing spoken responses as well as how they are behaving. To this end, it can be useful to have a second person present, whose sole role is note-taking. Video or audio recording a session can be a sure way to review your session in the future, ensuring you don’t miss anything.

Note-taking methods

Pen and paper

While digital tools dominate our usability testing methods, handwritten notes or post-its can still be useful to capture what is happening in a group. This method works the best one-on-one or for smaller groups with a limited amount of data. Trying to make notes with larger groups can quickly become unwieldy.

Benefits

• The information can be collected in the moment and at the time. 
• With the physical nature of writing with pen and paper you are more likely to take fuller notes as your brain is engaged with the process. 
• No keyboard noise. Not having the physical barrier of the laptop can also help to relax the interviewee.

Downsides

• The data can’t be quickly collated into a digital format. 
• A lot of work needs to happen after the session to enter the information into a digital format that can sort and store the information for future analysis, sharing and search.

Text editor or spreadsheet

Using a text editor like Word or Google doc can be a quicker way to add the information into a digital format (skipping the step between pen and paper to digital). 

Benefits 

• The information and data can be entered quickly and accurately.
• No need to enter the information into another format after the session.
• Data can be searched quickly.

Downsides 

• The sound of the keyboard could be distracting.
• Taking notes digitally can be less engaging for the note taker.

Qualitative research tool

Using a dedicated qualitative research tool can facilitate and accelerate the interpretation of your data. A dedicated qualitative research tool, like Reframer, combines the advantages of a digital tool with special features for data analysis.

Benefits

• Speeding up the analysis process.
• Removing the need to copy data into other formats. 
• Making analysis, search and storing of the data swift and accurate.
• Ability to add audio or video recordings directly into the data, keeping everything in one place.
• Sharing notes and data is easy and quick and can include stakeholders throughout the process.
• Consistency across note-taking, with a reliable and consistent format.

Downsides of using a research tool are:

• The sound of the keyboard can be distracting.

While there are benefits to all of three of these methods, note-taking in general can be quite off-putting when undertaking user research.

To help take the pain out of the process, and ease the collection of information, we’ve got 6 tips for making the most of Reframer. 

During the session it is vital to take quality notes, and the outcome of your data, and ultimately insights will rely on these. And there is an art to taking the right notes. These notes can be taken directly by you, the interviewer, or a dedicated note taker could be used. Using a qualitative research tool can ensure that the notes that are taken are consistent and easy to manage. Using a qualitative research tool, Reframer, doesn’t rely on the same person taking the notes each time, helping the data output be consistent. 

9 tips to help you take great notes

Whether you are taking notes, manually or digitally there are a few tricks to help you take better notes, resulting in better data, and ultimately better insights. It can be valuable to have one person facilitating the interview, and able to focus on the participant, while the other is the notetaker, leaving you both to focus on your role is for the session.

Here's nine tips to make sure that your note-taking is as good as it can be:

1. Record your sessions (audio or video): If you can, record the audio and/or video of your session. You’ll be able to listen or watch the session later and pick up on anything you may have missed. Loading into Reframer is quick and easy, and means that the notes and the audio/video are kept together, timestamped and shared easily.
2. Note down timestamps during the session: Make a note of the time whenever something interesting happens. This will help you to jump back into the recording later and listen or watch the part again. 
3. Capture your observations during the session: Capturing observations during the session will allow a fuller understanding of behavioural observations as well as spoken responses. Reframer can help make this simpler with tags that can be quickly added at the time to make note-taking simpler.
4. Make a note of everything – even if it doesn’t seem to matter: Sometimes even the smallest things can have a significant impact on how a participant performs in a usability test. Note down if they’re having trouble with the laptop or device, for example.
5. Stay true to the facts:  Make sure you take the position of an objective observer and don’t make assumptions about how the participant’s thinking or feeling. If you do want to add conclusions or possible explanations of behavior clearly indicate this.
6. Be consistent with your format: Be consistent about your note taking perspective (1st or 3rd person), the style (bullet points vs. floating text) and the format of the timestamps. Clearly differentiate quotes from observations. This becomes simpler with the use of Reframer, meaning you can focus on the session.
7. Carefully paraphrase: Making sure that your notes are clear, and capture what is said and happening in the session is important. It's just as important not to write it down word for word, or to infer what you believe is happening.
8. Highlight missed or incomplete parts: Using time-stamping can become very useful when it comes to noting where there may be missed or incomplete sections. This allows post analysis to quickly find where information is missing and check against audio or video files to fill in the blanks. 
9. Recap after your session: Take time as soon as possible to review the session, while it is still fresh in your mind. Make edits, add missed parts and details. Using a qualitative research tool can mean that you can quickly review the audio or video and add tags and detail to sections quickly and easily. This makes review time quicker and capturing detail easier.

Wrap up

You want to get started with your qualitative research but it all feels a little tricky. Through the Optimal Workshop platform and with our Reframer tool you can get started quickly, and we can help guide you through the process of getting your research underway.

Worried about finding participants? We have that sorted too. With 50+ million quality participants at your fingertips.