If you're googling UX Research Repositories, I hope you have one of the following problems:
- Data is scattered all over the place and it's hard to find old research
- You keep re-running research studies because of #1
- You get too many questions about users—your team can't keep up
- You want to democratize access to user insights
- Analysis is too slow (this is solved by some repositories, not all)
If these are your pain points, congratulations! You're in the right place. A UX Research Repository can in fact help you solve these problems.
If, on the other hand, you've got one of these problems:
- No one is reading my reports
- I don't have enough buy-in for research
- I don't know how to communicate my insights
A research repository will not solve your problems. Instead, read this article about creating useful Research Reports or this one about linking your work to business value.
For those who've stuck around, in this article we're going to cover:
If you're in a rush, you can also just sign up for a free demo of Looppanel, our ah-mazing UX Research Repository tool. This way, you get a guided tour and live-action experience of how a repository works!
A repository is just store of information. We call it a repository when we want to be fancy 💃.
A user research repository is a place to store all your user research data—notes, recordings, insights. These can be accessed when needed, ideally by everyone in the organization.
A good research repository lets teams across the organization find what they’re looking for on their own. This makes research insights more accessible to the right people at the right time.
A user research repository can start as nothing more than a Google doc.
It can also grow into a complex library of insights within dedicated tools that can transcribe your calls, auto-tag your notes, and help you search for answers across your data in seconds.
This article will go over all of these possibilities and help you implement the ones you choose. But let’s not get ahead of ourselves!
Let's zoom in on user research repositories.
There are the 3 key benefits you can expect to get from a UX research repository:
- It speeds up research ⚡
- It makes collaboration easier 🤝
- It prevents redundant research 🔁
⚡ UX Research repositories speed up research
UX Research projects start with a request for user insight.
The project is planned, user research methodologies chosen, participants recruited, user interviews conducted, raw data stored and analyzed, reports created and shared, and finally the data collected is archived somewhere.
A UX research repository speeds up every step of this process.
By definition, the user research repository acts as a storehouse of past insights & reports, along with an archive of the raw data to go back to. This store of historical data allows repositories to cut away requests that can be answered using data from previous projects.
Once the request does go through, past projects help plan the next ones better, often by giving the team a good starting point for what they already know about users.
User Research Repositories like Looppanel also speed up analysis for new projects. They do this by:
- Transcribing your data very accurately
- Auto-tagging your notes and helping you group data faster
- Allowing you to ask questions of your user data (e.g., Which integrations did people ask for?), within and across projects
A good repository also makes it easy to share insights and clips with your team with a click. If you can't share insights, what's the point of discovering them?
Speaking of collaboration…
🤝 UX Research Repositories make collaboration easier
UX Research is a team sport. Having a user research repository allows for it to remain one.
In an ideal case, repositories should allow people outside the UXR team to contribute to the organization’s body of knowledge.
Once successfully implemented, the repository can be accessed by anyone. This makes the organization’s knowledge easier to find by those who need it the most.
Easy access to insights and data also allows for collaborative analysis.
Teams will reach diverse and unique conclusions.
Some of these will be insights that researchers could not have thought of.
Some of these will be insights other teams couldn’t have reached on their own.
Inputs from your customer success team could help your copywriters, for example. It is easier to write relevant copy if you already have a record of what the users are complaining about and what they want to hear.
Researchers can also set up frameworks that allow non-researchers to conduct certain types of research independently. This is amazing—the UXR team is no longer the bottleneck for conducting research! Everyone in the organization gets exposure to research.
User researchers get to see their family once in a while.
Of course this wouldn’t happen from day one and depends on the UX maturity of your organization.
Research democratization only takes place once you enter the later stages of UX maturity. A repository can help a lot with this though, by making it easy for anyone to find research info, especially non-researcher stakeholders. It's all out in the open, and stop seeming like a secret mystic ritual.
🔁 Repositories prevent redundant research
User research piles up quickly. It’s easy to lose your work in the unrelenting jungles of Google drive and Google Sheets and email chains and Miro Boards and floppy disks and pen drives and—you get the idea.
The data and/or insights hidden away in these corners might be required by other teams eventually. When that happens, researchers can hunt for them through the jungles or conduct the research again.
Having a repository makes things easier to find and prevents you from running the same research over and over and over again. Since items are centralized and searchable, you can discover the relevant information within a couple of clicks.
Above all, it takes the guesswork out of the equation.
Your team doesn’t need to start another project with the troubling intuition that they’ve collected this data before, if only they could remember 🧐.
Some repository tools like Dovetail require you to set up a tagging taxonomy, and get everyone to tag data accurately, if you need to find stuff later. It can get very complicated.
Luckily, new-age repositories like Looppanel have Google-like search features, where you can type and question, keyword, or topic and find all the data you need within the repository.
Some teams also store participant info from previous research projects in repositories. They can then reach out to these people for future research requests. This saves the time and energy they would have spent scrambling for new participants.
How do I create a UX research repository?
There are 5 broad steps to creating a UX Research Repository:
Step 1: Evaluate your needs. What is the problem your team is looking to solve? Without team alignment on this (including with the budget holder), it'll be difficult to decide if a repository is even a good solution for you and which features you care about most.
Step 2: Understand your existing data. How much data does your team already have? Where does it live? Once you know this, you will know whether you need to account for historical data in your UX Research Repository solution, and how much data that might be.
Step 3: Explore relevant solutions. Book demos with UX research repository providers like Looppanel. Gather the data for each tool you're considering in an evaluation framework like this one.
Step 4: Evaluate and align on the best fit. Get 1-2 key people in your team involved for evaluating repositories. Include at least 1 person who would be a day-to-day user of the solution. Also include the budget holder for your team—you need to make sure they're on board in order to get approval.
Step 5: Onboard your team on the repository. Bring historical user data into the repository. Align on the metadata segments (e.g., user geography, type of user) that you want to set up in your repository (more on this later!). Stay in touch with your team to clear any early blockers or friction that's preventing your team from adopting the solution.
What are the different types of research repository?
There are two broad ways to create a repository: DIY it (aka use Notion or Confluence for as long as possible), or get a dedicated user research repostiory tool.
1. DIY Solutions (the scrappy startup approach)
These are for teams that like to roll up their sleeves and get crafty. We're talking Google Docs, Sheets, Airtable, Confluence or maybe a snazzy Notion template.
Pros: Cheap (often free), flexible, and you probably already know how to use them.
Cons: Can get messy fast, and you might outgrow them quicker than you think.
2. Dedicated Repository Tools (specialized gear)
These are the cool kids on the block – tools built specifically for managing research. Think Looppanel, EnjoyHQ, Dovetail, or Condens.
They come packed with features like tagging, advanced search, and collaboration tools. Also great for teams that are serious about their research game and need something more robust.
The downside? You need some budget to invest in these solutions.
If you’ve outgrown your DIY repository (or if you don’t want to spend time making one), there are a bunch of great repository tools available for you.
If you have a good idea of your team’s needs, deciding which tool to go for will be easier! 🫠.
Try this Repository Evaluation Framework to compare repository options and choose the right fit for you.
Here are the top User Research Repositories tools in 2024:
1. Looppanel
Looppanel is a User Research analysis and repository tool. It's built like a research assistant—it helps you on every step of your analysis and repository journey:
- Transcribes with 95% accuracy
- Auto-tags and enriches your data
- Lets you search for answers across your workspace
Looppanel supports multiple data types, including csv files, recordings, notes, transcripts, and more. It also allows you to collaborate easily with stakeholders (Pro plan comes with unlimited collaborators).
Pricing: Starts at $27 / month
G2 Rating: 4.8 ⭐⭐⭐⭐⭐
Request a demo for Looppanelhere
2. Dovetail
Dovetail is a popular traditional user research analysis & repository tool. You can analyze, synthesize, summarize, and share your customer research on one platform.
The backbone of Dovetail is a tagging taxonomy. This is a multi-layered list of tags that you have to create, maintain, and use to tag your data to make it searchable. This can be challenging to maintain, unless you have a person dedicated to the task on your team. Key features include:
- Transcription
- Analysis workspace & tagging taxonomy
- Global search
Pricing: Starts at $29 / month
G2 Rating: 4.4 ⭐⭐⭐⭐
3. Condens
Condens is a repository tool that's basically ‘Dovetail lite’. It has similiar workflows, with fewer features and a slightly lighter price tag. Key features include:
- Transcription
- Tagging workflows
- Global search
Pricing: Stars at $15 / month
G2 Rating: 4.8 ⭐⭐⭐⭐⭐
4. Aurelius
Among Dovetail alternatives, Aurelius is a more old-school repository tool, for researchers to organize notes, capture insights, and analyze data. Key features include:
- Tagging workflows
- Analysis workspace
Pricing: Starts at $49 / month
G2 Rating: No reviews
5. EnjoyHQ
EnjoyHQ is a repository platform, and is more useful for storage than analysis. We are yet to find someone who actually likes using it. Key features include:
- Integrations with many tools (great to centralize data)
- Tagging of data
- Insight reports
Pricing: Starts for free, but moves behind a 'Contact Sales' button really quickly
G2 Rating: 3.8 ⭐⭐⭐⭐
We've extensively researched and reviewed the best Research Repository tools in 2024. Get the full rundown here.
If you're just starting out with user research, you can make do a little while with DIY repositories.
They do get overwhelming and scary as information piles up, fair warning. Juggling different kinds of media, manually transcribing data, and searching for old data can be a nightmare.
And then your colleague Dave could just mess up the whole thing with ugly formatting.😖
However, if budgets are non-existent and you're still figuring it out, a Notion template will do the job.
There are two User Research repository Notion templates that we are particularly fond of.
Notion’s team provides a free basic User Research template
What we like about this template:
- It’s a great starting point when just getting started with repositories
- It’s easy to populate and share for a single project
- It offers a convenient template for an actionable summary
What can be better about this template:
- As projects pile up, this template can get complicated. At that point it can have the same drawbacks as putting everything on a Drive - finding data can get tough, old research can get buried.
- The search capability across projects wouldn’t be adequate for larger organizations.
- This template is mostly useful post-research. You’ll have to separately compile data here after the study is done. Since the template requires effort post-research, it is not ideal for researchers who do not have the time to summarize their study or the will-power at the end of a long project.
You can get this User Research template here.
This excellent UX research template by Konstantin Escher.
This was originally posted to UX Collective. You can duplicate it and use it for your own team.
What we like about this template:
- This is intuitive and simple to use, even for non-researchers.
- The template offers a great level of detail. You can get an overall idea that doesn’t overwhelm you. You can then dive deep into the finer data points, if you want.
What can be better about this template:
- Relevant data can be higher up on the page. Your busy teammates won’t appreciate learning about the research team before they can learn about the research.
- As was in the previous one, the search capability across projects wouldn’t be adequate for larger organizations.
- Your team should be comfortable with Notion to use this well. This is not necessarily the template’s fault, just an obstacle you’ll have to overcome.
You can get this User Research template here.
When choosing a user research repository, you should review your options based on a few decision criteria.
- Analysis 🧐
How will the tool help with your analyses? Some considerations include— Is there a storage limit? Can you create insights/notes on the fly? Does it offer high quality transcription? Do you have to tag data to find it later?
- Tech🤖
Does the tool use AI smartly? How accurate is the transcription feature (ours is 95%, best in the biz💅)? How reliable is the analysis?
- Collaboration 🤝
Does the tool improve collaboration within and across teams? Does it allow real time collaboration on notes/insights? Can you share clips and reports across your organization, even if some teammates haven’t set up an account?
- Search & Repository Features
How easy is it to set up and maintain your repository? If it's a lot of effort to do this (e.g., setting up and maintaining a complex taxonomy system), you will struggle to keep the repository active.
- Cost 💰
Will it be too much of a burden on the research team’s pockets?
- Privacy & Security 🔒
Does the tool have the right compliances in place? (SOC 2 and GDPR are the ones your InfoSec team probably cares about)
There’s a ton of options out there. Researching research repositories requires a repository.
Repository Evaluation Framework
Ready to start comparing tools? We've created an Evaluation Framework to help you compare different solutions and find the best fit for you.
Make a copy of the UX Research Repository Framework
To make an even more informed decision, ask yourself and your team these questions.
What do you expect to happen once you've established a repository?
This can help you evaluate whether a research repository is a good fit for your team. 80% of repositories fail. To make sure yours succeeds, get answers to these questions:
1. Can I easily import historical data into the research repository and start searching for insights on Day 1?
If not, you'll either have to write-off your old research, or spend a lot of time making it usable (not why you're buying a repository).
2. Does my team actually want to analyze data within the repository?
If the answer is no, you're more likely to end up with a dumping ground of reports than a repository.
3. How many people can collaborate within this repository?
Especially if your team collaborates on research with stakeholders, is growing, or wants to grow the repository in the future, this is a crucial question. Otherwise you'll keep hitting budget and seat limits as you try to grow the repo.
Redditor’s Review of Research Repository Tools
Of course, before making a decision, you have to consider the opinions of the good ol' folks on Reddit. When it comes to choosing a research repository tool, the folks on Reddit have some strong opinions. Here's the TLDR from searching the reddit-verse for User Research Repository reviews:
- Redditors like Dovetail for efficient organization of research data, easy tagging and sorting and good collaboration features. They don't like its $$$, steep learning curve, and poor AI feature.
- For those looking for free / cheap tools, Airtable and Notion got honorable mentions.
- Looppanel got shoutouts for its high quality transcripts and auto-tagging features.
Okay, you've evaluated a bunch of solutions and finally settled on one—phew, hard work done? Not quite yet.
You still need to make sure your UX Research Repository is set up for success within the organization. 80% of repositories fail because of improper evaluation and roll-out of the solution—let's avoid that, shall we?
Step 1: What to include in a UX Research Repository
A research repository is packed with all sorts of goodies that researchers and their teams can dive into whenever they need. Here's what you'll typically find inside:
- Raw data: The meat and potatoes of your research. It includes all the juicy details from your user studies, surveys, and interviews.
- Notes and observations: These are the scribbles, doodles, and "aha!" moments that researchers jot down during sessions. They're often where the magic happens – those little nuggets of wisdom that lead to big breakthroughs.
- Insights and key findings: The golden nuggets you've mined from all that raw data. These are the takeaways that make product managers and designers do a happy dance.
- Reports and summaries: For when you need to impress the bosses or catch up a colleague quickly. These distill all your hard work into easy-to-digest formats.
If you go through some UX research repository examples, you may also find:
- Project metadata (the who, what, when, and why of each study)
- Secondary research and old reports
- Survey data, NPS open-ends and other user data
Step 2: How to use a research repository daily
Our repository is set up and ready to go! Now you need to make sure you actually use it in your day-to-day workflows. Use your repository to:
- Power your analysis workflow. If your repository doesn't become the place where you analyze your data, it'll quickly get abandoned. Make sure you choose a repository that you want to use for analysis proactively.
- Prep for meetings. Use repository insights to inform discussions. Your repository should power discussions and provide quick insights. "What do we know about churned users?" — just a second, let me ask my repository!
- Encourage others to use it. Promote it as a resource for all teams to find answers to their most pressing questions. The easier you make it for the team to make user-centric decisions, the more they'll make them.
Step 3: How to maintain a research repository
One of the biggest issues with repositories is maintenance.
The amount of maintenance required depends on the type of user research repository you opt for. We can classify maintenance required into 3 categories:
- Non-researcher tools (e.g., Notion, Confluence). These are very high maintenance repositories. The only way they work is if you and your team members are actively adding data to your database, including key insights, links to source data, and reports.
- Traditional research repositories (e.g., Dovetail, Condens). High maintenance repositories like Dovetail and Condens require you to tag all your data perfectly for it to be discoverable with search. Unless you have a full-time UX Librarian on staff, this is very tough to do and requires a lot of manual work.
- New era repositories (e.g., Looppanel). Looppanel is a low maintenance repository. As soon as you upload your data, it's auto-enriched for search. You can auto-tag your data for even more powerful search results. You can always add your own context, tags, and metadata, but the product gets you 80% of the way there.
If you've chosen a high-maintenance repository like Dovetail or Confluence, make sure you and everyone else who runs research follows a protocol to maintain the repository. This might look like:
- Defining tags
- Determining what data you want to maintain in the repository
- Checking that data is correctly formatted at the end of every study
Make sure the entire team is religiously following these steps, or you'll end right where you started.
If you don't want to spend your time managing your repository, try out a low-maintenance one like Looppanel instead.
You’ve shed blood, sweat, and tears on this research repository. Let’s see some reasons all your efforts can go to waste. Why do research repositories fail?
Sounds like a good way to end this article 🥰.
We interviewed design and research leaders to find out why 80% of repositories fail. Read the findings in our latest whitepaper here.
Lack of buy-in beforehand
Make a case for repositories in front of your organization. It would be pointless if you built or bought a repository for an organization that does not understand its benefits.
Getting buy-in would involve convincing multiple stakeholders. You would have to convince other teams of the benefits of collaborative research. Convince the product team that being actively involved in the repository will let them create a better product. Convince the marketing team that reading and adding insights will help them understand the customer better. Convince the sales team that repositories are the easiest way to identify the “pain points” people want to pay for.
A team that understands the purpose of implementing a repository across the organization will be more receptive during the onboarding process. Earning your buy-in within and across teams, therefore, can prevent the next pitfall as well.
Improper onboarding
Your team hates you for making them learn another tool.
You hate your team for not picking it up on their own.
To avoid this situation,, spending time and energy making sure everyone understands how to use the repository is always wise!
Your organization should be confident in their repository skills. That way, they’re more likely to use it when making decisions and add to it when they have interesting insights.
A team that struggles with the repository would try to figure things out for ten minutes (data not backed by research) before giving up and going back to their daily work.
Also make sure to stress the importance of participant privacy, especially for the non-researcher.
The wrong tools for the job
This one is obvious (and has been repeated all over the article).
A shiny repository tool with every conceivable feature might hurt your research work. Don’t go too big too soon if your organization is still tiny. Even a large organization just getting started with UX research will be turned off by complexity. It’s easy to fall into the role of a “librarian” if the repository doesn’t align with your workflow and team needs—you don’t want to spend more time curating your research than you do creating it!
There’s of course the other hand here. Work at a thousand person organization where they love UX research? You probably shouldn’t settle for a nice google sheet.
Pick the right tools for the job!
Role ambiguity
Someone from the research team should be accountable for the repository.
Building and maintaining the repository, answering questions related to the repository, onboarding new team members, ensuring that other teams are doing things correctly—these are just some of the tasks that go into a successful repository implementation.
If you are a UX research team of one, you’ll be accountable for all of this! (take a nap)
If your research team has more people, everyone should know what their job is. In the absence of clarity, you get confused team members stepping on each others’ toes.
You can also take cues from the teams at Google and Razorpay. Read how they built good repositories here.
What is an example of a UX Research Repository?
You can have a repository in any tool from Confluence, Airtable, to a dedicated UX Research Repository solution like Looppanel.
Let's go through an example of a company, we'll call them Dunder Mifflin, setting up a UX research repository of their own.
How repositories start
Dunder starts out without a User Researcher, and they start out without a formal repository tool. UX Designers at Dunder just start by collating a list of their research in Confluence. This is their first UX research repository.
How repositories evolve as the organization grows
Over time, a UX Researcher is hired, the team starts doing more user research, and suddenly they're overwhelmed by the amount of data scattered across excel sheets, miro boards, drives, and other tools.
Any time someone at Dunder asks a question about their users, let's say "Why are customers going to the competitor?", you're left scratching your head. You know someone did this research, but where, oh where, is the data?
On top of that, your team is probably trying to be more efficient while running research as well.
The question becomes: How might they discover insights and answer questions faster?
If you're ahead of the curve compared to Dunder, you may have purchase a user research repository before you hit this point. Either way, you now turn to a dedicated UX Research Repository tool for:
- Transcribing and helping you analyze your data
- Centralizing your research data in one place
- Allowing you to search across your data for answers in seconds
Looking for a User Research Repository? Set up a free demo to learn more about Looppanel
In Conclusion
Implement a research repository! Your research team will thank you.
Even the most basic repositories will immediately improve your research capabilities.
It's also really important to choose the right tool.
Looppanel is a research repository tool that's built for researchers by researchers, btw. It's easy to use and helps you get to insights 5x faster. You'll love it, just trust us on this.
Try Looppanel for free, and get started on your repository.
Frequently Asked Questions (FAQs)
How do I find people for UX research?
Finding participants for UX research involves a mix of strategies and tools, some of which can be integrated into your UX research repository tools. Common approaches include tapping into your existing customer base, reaching out on social media, using specialized user testing platforms, or working with recruitment agencies. Many UX research repository examples include features for managing participant information and recruitment processes. The key is to build a diverse pool of participants that match your target user profiles, ensuring that your research findings are representative and valuable.
What is a user repository?
A user repository is a specialized database within your user research repository that stores information about research participants. It's a common feature in many UX research repository examples, allowing researchers to maintain a pool of potential study participants. This tool typically includes contact details, demographic information, participation history, and areas of expertise. By integrating a user repository into your UX research repository tools, you can streamline the recruitment process, ensure diverse representation in your studies, and maintain ethical standards by tracking participation frequency. It's an essential component for efficient and effective user research management.
How to set up a research repository?
- Choose your weapon (tool of choice, we have a whole list of options in the next section)
- Set up your basic structure (think: folders, but cooler)
- Establish some ground rules (like "no dumping unsorted data and running")
- Start small, maybe with your latest project
- Gradually expand like a data-hoarding octopus
How to organize a UX research repository?
Step 0: Take a deep breath. You've got this!
Assess your current research chaos... er, situation.
Chat with your team about their wildest repository dreams. Pick a tool that won't make everyone want to quit. (scroll to the next section for more on this). Then follow these 4 steps with your brand new UX Research Repository:
- Organize: Create a logical structure that even your non-techy CEO could navigate
- Import: Bring in your existing research (yes, even that ancient survey from 2019)
- Tag and categorize: Go wild with metadata
- Train the troops: Show your team the ropes (bribes of coffee and donuts may help)
Read the in-depth guide on How to organize UX Research here
Best practices for User Research Repositories
- Create clear guidelines. Set standards for how to add and organize research. This also comes under ReOps.
- Make searching easy. Use good titles and tags to help find information quickly.
- Focus on quality. Include relevant insights, not just lots of data.
- Connect with other tools. Link the repository to your team's usual software.
- Have clear rules for handling sensitive information.
- Show its value. Share how repository insights have helped the team.
Remember, a perfect repository is like a perfect user – it doesn't exist.
What is a data repository in research?
A data repository in research is a digital system where researchers store and manage their collected information. It's designed to be user-friendly, allowing easy storage, access, and sharing of various research materials. For UX researchers, this might include user interviews, survey responses, and usability test results.
These repositories aren't just simple storage spaces - they come with helpful features like metadata tagging to make finding specific data easier, version control to track changes, and citation tools to give credit where it's due. They're really useful for promoting data reuse, making research more transparent, and helping researchers work together more effectively. By keeping everything in one organized place, data repositories ensure that valuable insights are easily accessible and can inform future design decisions and user-centered strategies.
What are online research repositories?
Online research repositories are web-based platforms for storing, organizing, and sharing research data. They allow remote access and collaboration, featuring tools for searching, visualizing, and discussing research materials.
For UX professionals, these repositories can store various content like interview transcripts, survey data, and usability test videos. They help distributed teams stay aligned on user insights, break down project silos, and integrate with other UX tools. With proper access controls, they enable secure sharing of findings with stakeholders or the wider research community, promoting innovation and efficiency.
How Does a UX Research Repository Differ From a Regular Database?
A UX research repository differs from a regular database in 5 key ways:
- Content focus: UX repositories specifically store user research data like interview transcripts, usability test results, and persona information. Regular databases can hold any type of structured data.
- Specialized research features: UX repositories often include tools for transcription, tagging insights, smart searching for insights, and linking related findings. These features are tailored to UX workflow needs and make it much easier for you to answer questions about your user efficiently.
- Collaboration tools: UX repositories typically offer features to share insights and user feedback with your team. You can also invite team members to collaborate on research in a repository.
- Accessibility: UX repositories are designed for easy use by non-technical team members, whereas regular databases often require more technical expertise to navigate.
- Integration: UX repositories may integrate with sources of user data (e.g., Zoom to record calls). They may also enable you to embed insights into Jira, Confluence, Notion, and other tools you work in.
In general UX research repositories are built to help you analyze data faster and find insights without a lot of maintenance that would be required of a traditional database.
Is a UX Research Repository Suitable for Remote Teams?
Yes, a UX research repository is highly suitable for remote teams. Here's why:
- Centralized access: Team members can access research data from anywhere, ensuring everyone has the latest insights.
- Real-time collaboration: Remote teams can work together on research projects and share updates asynchronously.
- Security features: Proper access controls ensure sensitive user data remains protected, especially when accessed remotely.
- Knowledge preservation: As team members come and go, the repository maintains a stable record of research, crucial for remote teams with potential turnover.
- Easy ability to share insights: Built-in features for creating research summaries or sharing video clips help remote teams effectively share insights with stakeholders.
Overall, UX research repositories can significantly enhance collaboration and knowledge sharing for remote UX teams.
How Frequently Should a UX Research Repository be Updated?
A UX research repository should be updated continuously as part of your ongoing research and analysis process.
The key is to ensure that you analyze your data within your repository tool. That way the tool is automatically kept up-to-date.
Many repositories fail when they're not used for analysis because knowledge management and managing he repository becomes another task no one on the team has time for.
If you can use your repository for analysis, your repository will be much more successful because:
- Insights that are fresh: New findings are immediately available to the team.
- No backlog builds up: You avoid the overwhelming task of bulk-updating later.
- Analysis is deeper: The act of adding to the repository often leads to better synthesis of findings.
- It's always relevant: The repository reflects your most current understanding of users.
- Adoption goes up: The team is more likely to share insights from the repository, slowly introducing the broader organization to the repository as well.
Remember, if updating the repository becomes a standalone task, it's more likely to be postponed or abandoned. By making it an integral part of your research analysis, you ensure it remains a living, valuable resource rather than a neglected database.
What’s the purpose of a research repository?
The purpose of a research repository is to serve as a centralized hub for collecting, organizing, and leveraging insights from user research. Here's a breakdown of its purpose:
- Knowledge consolidation: It brings together findings from various research projects, creating a comprehensive view of user needs and behaviors.
- Insight accessibility: It makes research findings easily searchable and accessible to all team members, promoting data-driven decision making.
- Collaboration enhancement: It facilitates knowledge sharing and discussion among team members, fostering a collaborative research environment.
- Efficiency improvement: By storing past research, it prevents duplication of efforts and helps inform future research directions.
- Trend identification: Over time, it allows teams to spot patterns and trends in user behavior across multiple studies.
- Onboarding support: New team members can quickly get up to speed on past research and current user understanding.
- Stakeholder communication: It provides a single source of truth for sharing insights with stakeholders and other departments.
- Research impact tracking: It helps demonstrate the value of UX research by showcasing how insights influence product decisions.
- Continuous learning: As a living resource, it supports ongoing refinement of user personas, pain points, and insights.
The purpose of a repository for your organization depends on what your team values most and is looking to solve for. Align with your team on key challenges and desired improvements they're looking for before evaluating a repository solution.
.svg)
