November 18, 2022
—
4 min

Create a user research plan with these steps

Header graphic for the article 'Create a user research plan with these steps'

A great user experience (UX) is one of the largest drivers of growth and revenue through user satisfaction. However, when budgets get tight, or there is a squeeze on timelines, user research is one of the first things to go. Often at the cost of user satisfaction.  

‍

This short sighted view can mean project managers are preoccupied with achieving milestones and short term goals. And UX teams get stuck researching products they weren’t actually involved with developing. As a result no one has the space and understanding to really develop a product that speaks to users needs, desires and wants. There must  be a better way to produce a product that is user-driven.  Thankfully there is.

‍

What is user research and why should project managers care about it? 👨🏻💻

‍

User research is an important part of the product development process. Primarily, user research involves using different research methods to gather information about your end users. 

‍

Essentially it aims to create the best possible experience for your users by listening and learning directly from those that already or potentially will use your product. You might conduct interviews to help you understand a particular problem, carry out a tree test to identify bottlenecks or problems in your navigation, or do some usability testing to directly observe your users as they perform different tasks on your website or in your app. Or a combination of these to understand what users really want.

‍

To a project manager and team, this likely sounds fairly familiar, that any project can’t be managed in a silo. Regular check-ins and feedback are essential to making smart decisions. The same with UX research. It can make the whole process quicker and more efficient. By taking a step back, digging into your users’ minds, and gaining a fuller understanding of what they want upfront, it can curtail short-term views and decisions.

‍

Bringing more user research into your development process has major benefits for the team, and the ultimately the quality of that final product. There are three key benefits:

‍

  1. Saves your development team time and effort. Ensuring the team is working on what users want, not wasting time on features that don’t measure up.
  2. Gives your users a better experience by meeting their requirements.
  3. Helps your team innovate quickly by understanding what users really want.

‍

As a project manager, making space and planning for user research can be one of the best ways to ensure the team is creating a product that truly is user-driven.

‍

How to bring research into your product development process 🤔

‍

There are a couple of ways you can bring UX research into your product development process. 

‍

  1. Start with a dedicated research project.
  2. Integrate UX research throughout the development project.

‍

It can be more difficult to integrate UX research throughout the process, as it means planning the project with various stages of research built in to check the development of features. But ultimately this approach is likely to turn out the best product. One that has been considered, checked and well thought out through the whole product development process. To help you on the way we have laid out 6 key steps to help you integrate UX research into your product development process.

‍

6 key steps to integrate UX research 👟

‍

Step 1: Define your research questions

‍

Take a step back, look at your product and define your research questions. 

‍

It may be tempting just to ask, ‘do users like our latest release?’ This however does not get to why or what your users like or don’t like. Try instead:

  • What do our users really want from our product?
  • Where are they currently struggling while using our website?
  • How can we design a better product for our users?

‍

These questions help to form the basis of specific questions about your product and specific areas of research to explore which in turn help shape the type of research you undertake.

‍

Step 2: Create your research plan

‍

With a few key research questions to focus on, it’s time to create your research plan.

‍

A great research plan covers your project’s goals, scope, timing, and deliverables. It’s essential for keeping yourself organized but also for getting key stakeholder signoff.

‍

Step 3: Prepare any research logistics

‍

Every project plan requires attention to detail including a user research project. And with any good project there are a set of steps to help make sense of it.

‍

  1. Method: Based on your questions, what is the best user research method to use? 
  2. Schedule: When will the research take place? How long will it go on for? If this is ongoing research, plan how it will be implemented and how often.
  3. Location: Where will the research take place? 
  4. Resources: What resources do you need? This could be technical support or team members.
  5. Participants: Define who you want to research. Who is eligible to take part in this research? How will you find the right people?
  6. Data: How will you capture the research data? Where will it be stored? How will you analyze the data and create insights and reports that can be used?
  7. Deliverables: What is the ultimate goal for your research project?

‍

Step 4: Decide which method will be used

‍

Many user research methods benefit from an observational style of testing. Particularly if you are looking into why users undertake a specific task or struggle.

‍

Typically, there are two approaches to testing:

‍

  1. Moderated testing is when a moderator is present during the test to answer questions, guide the participant, or dig deeper with further questions.
  2. Unmoderated testing is when a participant is left on their own to carry out the task. Often this is done remotely and with very specific instructions.Your key questions will determine which method will works best for your research.  Find our more about the differences.

‍

Step 5: Run your research session

‍

It’s time to gather insights and data. The questions you are asking will influence how you run your research sessions and the methods you’ve chosen. 

‍

If you are running surveys you will be asking users through a banner or invitation to fill out your survey. Unmoderated and very specific questions. Gathering qualitative data and analyzing patterns.

‍

If you’re using something qualitative like interviews or heat mapping, you’ll want to implement software and gather as much information as possible.

‍

Step 6: Prepare a research findings report and share with stakeholders

‍

Analyze your findings, interrogate your data and find those insights that dive into the way your users think. How do they love your product? But how do they also struggle?

‍

Pull together your findings and insights into an easy to understand report. And get socializing. Bring your key stakeholders together and share your findings. Bringing everyone across the findings together can bring everyone on the journey. And for the development process can mean decisions can be user-driven. 

‍

Wrap Up 🥙

‍

Part of any project, UX research should be essential to developing a product that is user-driven. Integrating user research into your development process can be challenging. But with planning and strategy it can be hugely beneficial to saving time and money in the long run. 

Share this article
Author
Optimal
Workshop

Related articles

View all blog articles
Header graphic for the article 'User research and agile squadification at Trade Me'
Learn more
1 min read

User research and agile squadification at Trade Me

Hi, I’m Martin. I work as a UX researcher at Trade Me having left Optimal Experience (Optimal Workshop's sister company) last year. For those of you who don’t know, Trade Me is New Zealand’s largest online auction site that also lists real estate to buy and rent, cars to buy, jobs listings, travel accommodation and quite a few other things besides. Over three quarters of the population are members and about three quarters of the Internet traffic for New Zealand sites goes to the sites we run.

‍

Leaving a medium-sized consultancy and joining Trade Me has been a big change in many ways, but in others not so much, as I hadn’t expected to find myself operating in a small team of in-house consultants. The approach the team is taking is proving to be pretty effective, so I thought I’d share some of the details of the way we work with the readers of Optimal Workshop’s blog. Let me explain what I mean…

‍

What agile at Trade Me looks like

‍

Over the last year or so, Trade Me has moved all of its development teams over to Agile following a model pioneered by Spotify. All of the software engineering parts of the business have been ‘squadified’. These people produce the websites & apps or provide and support the infrastructure that makes everything possible.Across Squads, there are common job roles in ‘Chapters’ (like designers or testers) and because people are not easy to force into boxes, and why should they be, there are interest groups called ‘Guilds’.The squads are self-organizing, running their own processes and procedures to get to where they need to. In practice, this means they use as many or as few of the Kanban, Scrum, and Rapid tools they find useful. Over time, we’ve seen that squads tend to follow similar practices as they learn from each other.

‍

How our UX team fits in

‍

Our UX team of three sits outside the squads, but we work with them and with the product owners across the business.How does this work? It might seem counter-intuitive to have UX outside of the tightly-integrated, highly-focused squads, sometimes working with product owners working on stuff that might have little to do with what’s being currently developed in the squads. This comes down to the way Trade Me divides down the UX responsibilities within the organization. Within each squad there is a designer. He or she is responsible for how that feature or app looks, and, more importantly, how it acts — interaction design as well as visual design.Then what do we do, if we are the UX team?

‍

We represent the voice of Trade Me’s users

‍

By conducting research with Trade Me’s users we can validate the squads’ day-to-day decisions, and help frame decisions on future plans. We do this by wearing two hats. Wearing the pointy hats of structured, detailed researchers, we look into long-term trends: the detailed behaviours and goals of our different audiences. We’ve conducted lots of one-on-one interviews with hundreds of people, including top sellers, motor parts buyers, and job seekers, as well as running surveys, focus groups and user testing sessions of future-looking prototypes. For example, we recently spent time with a number of buyers and sellers, seeking to understand their motivations and getting under their skin to find out how they perceive Trade Me.

‍

This kind of research enables Trade Me to anticipate and respond to changes in user perception and satisfaction.Swapping hats to an agile beanie (and stretching the metaphor to breaking point), we react to the medium-term, short-term and very short-term needs of the squads testing their ideas, near-finished work and finished work with users, as well as sometimes simply answering questions and providing opinion, based upon our research. Sometimes this means that we can be testing something in the afternoon having only heard we are needed in the morning. This might sound impossible to accommodate, but the pace of change at Trade Me is such that stuff is getting deployed pretty much every day, many of which affects our users directly. It’s our job to ensure that we support our colleagues to do the very best we can for our users.

‍

How our ‘drop everything’ approach works in practice

‍

Screen Shot 2014-07-11 at 10.00.21 am

‍

We recently conducted five or six rounds (no one can quite remember, we did it so quickly) of testing of our new iPhone application (pictured above) — sometimes testing more than one version at a time. The development team would receive our feedback face-to-face, make changes and we’d be testing the next version of the app the same or the next day. It’s only by doing this that we can ensure that Trade Me members will see positive changes happening daily rather than monthly.

‍

How we prioritize what needs to get done

‍

To help us try to decide what we should be doing at any one time we have some simple rules to prioritise:

  • Core product over other business elements
  • Finish something over start something new
  • Committed work over non-committed work
  • Strategic priorities over non-strategic priorities
  • Responsive support over less time-critical work
  • Where our input is crucial over where our input is a bonus

‍

Applying these rules to any situation makes the decision whether to jump in and help pretty easy.At any one time, each of us in the UX team will have one or more long-term projects, some medium-term projects, and either some short-term projects or the capacity for some short-term projects (usually achieved by putting aside a long-term project for a moment).

‍

We manage our time and projects on Trello, where we can see at a glance what’s happening this and next week, and what we’ve caught sniff of in the wind that might be coming up, or definitely is coming up.On the whole, both we and the squads favour fast response, bulleted list, email ‘reports’ for any short-term requests for user testing.  We get a report out within four hours of testing (usually well within that). After all, the squads are working in short sprints, and our involvement is often at the sharp end where delays are not welcome. Most people aren’t going to read past the management summary anyway, so why not just write that, unless you have to?

‍

How we share our knowledge with the organization

Even though we mainly keep our reporting brief, we want the knowledge we’ve gained from working with each squad or on each product to be available to everyone. So we maintain a wiki that contains summaries of what we did for each piece of work, why we did it and what we found. Detailed reports, if there are any, are attached. We also send all reports out to staff who’ve subscribed to the UX interest email group.

‍

Finally, we send out a monthly email, which looks across a bunch of research we’ve conducted, both short and long-term, and draws conclusions from which our colleagues can learn. All of these latter activities contribute to one of our key objectives: making Trade Me an even more user-centred organization than it is.I’ve been with Trade Me for about six months and we’re constantly refining our UX practices, but so far it seems to be working very well.Right, I’d better go – I’ve just been told I’m user testing something pretty big tomorrow and I need to write a test script!

Header graphic for the article 'Why User Interviews Haven’t Evolved in 20 Years (And How...'
Learn more
1 min read

Why User Interviews Haven't Evolved in 20 Years (And How We're Changing That)

Are we exaggerating when we say that the way the researchers run and analyze user interviews hasn’t changed in 20 years? We don’t think so. When we talk to our customers to try and understand their current workflows, they look exactly the same as they did when we started this business 17 years ago: record, transcribe, analyze manually, create reports. See the problem?

‍

Despite  advances in technology across every industry, the fundamental process of conducting and analyzing user interviews has remained largely unchanged. While we've transformed how we design, develop, and deploy products, the way we understand our users is still trapped in workflows that would feel familiar to product, design and research teams from decades ago.

‍

The Same Old Interview Analysis Workflow 

‍

For most researchers, in the best case scenario, Interview analysis can take several hours over the span of multiple days. Yet in that same timeframe, in part thanks to new and emerging AI tools, an engineering team can design, build, test, and deploy new features. That just doesn't make sense.

‍

The problem isn't that researchers  lack tools. It's that they haven’t had the right ones. Most tools focus on transcription and storage, treating interviews like static documents rather than dynamic sources of intelligence. Testing with just 5 users can uncover 85% of usability problems, yet most teams struggle to complete even basic analysis in time to influence product decisions. Luckily, things are finally starting to change.

‍

When it comes to user research, three things are happening in the industry right now that are forcing a transformation:

‍

  1. The rise of AI means UX research matters more than ever. With AI accelerating product development cycles, the cost of building the wrong thing has never been higher. Companies that invest in UX early cut development time by 33-50%, and with AI, that advantage compounds exponentially.
  2. We're drowning in data and have fewer resources.  We’re seeing the need for UX research increase, while simultaneously UX research teams are more resource constrained than ever. Tasks like analyzing hours of video content to gather insights, just isn’t something teams have time for anymore. 
  3. AI finally understands research. AI has evolved to a place where it can actually provide valuable insights. Not just transcription. Real research intelligence that recognizes patterns, emotions, and the gap between what users say and what they actually mean.

‍

A Dirty Little Research Secret + A Solution 

‍

We’re just going to say it; most user insights from interviews never make it past the recording stage. When it comes to talking to users, the vast majority of researchers in our audience talk about recruiting pain because the most commonly discussed challenge around interviews is usually finding enough participants who match their criteria. But on top of the challenge of finding the right people to talk to, there’s another challenge that’s even worse: finding time to analyze what users tell us. But, what if you had a tool where using AI, the moment you uploaded an interview video, key themes, pain points, and opportunities surfaced automatically? What if you could ask your interview footage questions and get back evidence-based answers with video citations?

‍

This isn't about replacing human expertise, it's about augmenting  it. AI-powered tools can process and categorize data within hours or days, significantly reducing workload. But more importantly, they can surface patterns and connections that human analysts might miss when rushing through analysis under deadline pressure. Thanks to AI, we're witnessing the beginning of a research renaissance and a big part of that is reimagining the way we do user interviews.

‍

Why AI for User Interviews is a Game Changer 

‍

When interview analysis accelerates from weeks to hours, everything changes.

‍

Product teams can validate ideas before building them. Design teams can test concepts in real-time. Engineering teams can prioritize features based on actual user need, not assumptions. Product, Design and Research teams who embrace AI to help with these workflows, will be surfacing insights, generating evidence-backed recommendations, and influencing product decisions at the speed of thought.

‍

We know that 32% of all customers would stop doing business with a brand they loved after one bad experience. Talking to your users more often makes it possible to prevent these experiences by acting on user feedback before problems become critical. When every user insight comes with video evidence, when every recommendation links to supporting clips, when every user story includes the actual user telling it, research stops being opinion and becomes impossible to ignore. When you can more easily gather, analyze and share the content from user interviews those real user voices start to get referenced in executive meetings. Product decisions begin to include user clips. Engineering sprints start to reference actual user needs. Marketing messages reflect real user voices and language.

The best product, design and research teams are already looking for tools that can support this transformation. They know that when interviews become intelligent, the entire organization becomes more user-centric. At Optimal, we're focused on improving the traditional user interviews workflow by incorporating revolutionary AI features into our tools. Stay tuned for exciting updates on how we're reimagining user interviews.

Learn more
1 min read

Efficient Research: Maximizing the ROI of Understanding Your Customers

Introduction

‍

User research is invaluable, but in fast-paced environments, researchers often struggle with tight deadlines, limited resources, and the need to prove their impact. In our recent UX Insider webinar, Weidan Li, Senior UX Researcher at Seek, shared insights on Efficient Research—an approach that optimizes Speed, Quality, and Impact to maximize the return on investment (ROI) of understanding customers.

‍

At the heart of this approach is the Efficient Research Framework, which balances these three critical factors:

  • Speed – Conducting research quickly without sacrificing key insights.
  • Quality – Ensuring rigor and reliability in findings.
  • Impact – Making sure research leads to meaningful business and product changes.

‍

Within this framework, Weidan outlined nine tactics that help UX researchers work more effectively. Let’s dive in.

‍

‍

1. Time Allocation: Invest in What Matters Most

‍

Not all research requires the same level of depth. Efficient researchers prioritize their time by categorizing projects based on urgency and impact:

  • High-stakes decisions (e.g., launching a new product) require deep research.
  • Routine optimizations (e.g., tweaking UI elements) can rely on quick testing methods.
  • Low-impact changes may not need research at all.

‍

By allocating time wisely, researchers can avoid spending weeks on minor issues while ensuring critical decisions are well-informed.

‍

‍

2. Assistance of AI: Let Technology Handle the Heavy Lifting

‍

AI is transforming UX research, enabling faster and more scalable insights. Weidan suggests using AI to:

  • Automate data analysis – AI can quickly analyze survey responses, transcripts, and usability test results.
  • Generate research summaries – Tools like ChatGPT can help synthesize findings into digestible insights.
  • Speed up recruitment – AI-powered platforms can help find and screen participants efficiently.

‍

While AI can’t replace human judgment, it can free up researchers to focus on higher-value tasks like interpreting results and influencing strategy.

‍

‍

3. Collaboration: Make Research a Team Sport

‍

Research has a greater impact when it’s embedded into the product development process. Weidan emphasizes:

  • Co-creating research plans with designers, PMs, and engineers to align on priorities.
  • Involving stakeholders in synthesis sessions so insights don’t sit in a report.
  • Encouraging non-researchers to run lightweight studies, such as A/B tests or quick usability checks.

‍

When research is shared and collaborative, it leads to faster adoption of insights and stronger decision-making.

‍

‍

4. Prioritization: Focus on the Right Questions

‍

With limited resources, researchers must choose their battles wisely. Weidan recommends using a prioritization framework to assess:

  • Business impact – Will this research influence a high-stakes decision?
  • User impact – Does it address a major pain point?
  • Feasibility – Can we conduct this research quickly and effectively?

‍

By filtering out low-priority projects, researchers can avoid research for research’s sake and focus on what truly drives change.

‍

‍

5. Depth of Understanding: Go Beyond Surface-Level Insights

‍

Speed is important, but efficient research isn’t about cutting corners. Weidan stresses that even quick studies should provide a deep understanding of users by:

  • Asking why, not just what – Observing behavior is useful, but uncovering motivations is key.
  • Using triangulation – Combining methods (e.g., usability tests + surveys) to validate findings.
  • Revisiting past research – Leveraging existing insights instead of starting from scratch.

‍

Balancing speed with depth ensures research is not just fast, but meaningful.

‍

‍

6. Anticipation: Stay Ahead of Research Needs

‍

Proactive researchers don’t wait for stakeholders to request studies—they anticipate needs and set up research ahead of time. This means:

  • Building a research roadmap that aligns with upcoming product decisions.
  • Running continuous discovery research so teams have a backlog of insights to pull from.
  • Creating self-serve research repositories where teams can find relevant past studies.

‍

By anticipating research needs, UX teams can reduce last-minute requests and deliver insights exactly when they’re needed.

‍

‍

7. Justification of Methodology: Explain Why Your Approach Works

‍

Stakeholders may question research methods, especially when they seem time-consuming or expensive. Weidan highlights the importance of educating teams on why specific methods are used:

  • Clearly explain why qualitative research is needed when stakeholders push for just numbers.
  • Show real-world examples of how past research has led to business success.
  • Provide a trade-off analysis (e.g., “This method is faster but provides less depth”) to help teams make informed choices.

‍

A well-justified approach ensures research is respected and acted upon.

‍

‍

8. Individual Engagement: Tailor Research Communication to Your Audience

‍

Not all stakeholders consume research the same way. Weidan recommends adapting insights to fit different audiences:

  • Executives – Focus on high-level impact and key takeaways.
  • Product teams – Provide actionable recommendations tied to specific features.
  • Designers & Engineers – Share usability findings with video clips or screenshots.

‍

By delivering insights in the right format, researchers increase the likelihood of stakeholder buy-in and action.

‍

‍

9. Business Actions: Ensure Research Leads to Real Change

‍

The ultimate goal of research is not just understanding users—but driving business decisions. To ensure research leads to action:

  • Follow up on implementation – Track whether teams apply the insights.
  • Tie findings to key metrics – Show how research affects conversion rates, retention, or engagement.
  • Advocate for iterative research – Encourage teams to re-test and refine based on new data.

‍

Research is most valuable when it translates into real business outcomes.

‍

‍

Final Thoughts: Research That Moves the Needle

‍

Efficient research is not just about doing more, faster—it’s about balancing speed, quality, and impact to maximize its influence. Weidan’s nine tactics help UX researchers work smarter by:

‍
✔️  Prioritizing high-impact work
✔️  Leveraging AI and collaboration
✔️  Communicating research in a way that drives action

‍

By adopting these strategies, UX teams can ensure their research is not just insightful, but transformational.

‍

‍

Watch the full webinar here

‍

Seeing is believing

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