Defining policy research
You can’t make smart policy without good research. I’ve seen too many well-meaning decisions fall apart because nobody bothered to collect the right evidence. That’s where policy research comes in.
Policy research is when we carefully study a policy problem, collect information, analyze it, and use those research findings to guide real decisions.
In this guide, I’m going to walk you through what policy research is, the different types like policy analysis and policy evaluation, the levels of research from strategic to operational, and the research methods researchers use.
We’ll look at the full research process, key players involved, common outputs you might create, some real-world examples, and tools you can use like Google Scholar. We’ll also highlight the common challenges you’ll face.
My goal is simple: help you do better public policy research that actually makes a difference.
What is policy research?
When we say policy research, we’re really talking about a simple idea: studying a policy problem in a careful, organized way to help policymakers make smarter decisions.
This isn’t about opinions or hunches, but about digging into research evidence so decision makers can see what actually works.
Policy research is different from academic research or market research:
- Academic research often tries to expand knowledge for its own sake.
- Market research helps businesses sell products or understand customers.
- Policy research involves studying real-world issues like health policy or economic policy to help fix public problems and improve the policymaking process.

You’ll often hear researchers talk about primary and secondary research. In short:
- Primary research means you’re out in the field collecting new data through interviews, surveys, or experiments.
- Secondary research means you’re looking at existing research outputs, like government reports, academic articles on Google Scholar, or previous research projects.

Most good public policy research uses both, combining fresh data with what we already know to build strong policy recommendations.
Why policy research matters
At the end of the day, policy research exists to solve real-world social issues that affect people every single day.
Take health policy as an example. During the COVID-19 pandemic, policymakers faced huge decisions about lockdowns, vaccines, and hospital capacity.
They couldn’t afford to rely on guesses or politics alone. Policy researchers gathered research evidence from hospitals, ran surveys to track public opinion, analyzed infection rates, and modeled different policy options.
That research directly shaped how governments around the world managed the crisis. Some countries saved thousands of lives because their decisions were backed by strong policy analysis. Others didn’t fare so well.
Good public policy research gives policymakers the research findings they need to design better policies, implement them more effectively, and evaluate if they’re actually working. Without this process, we end up with wasted money, frustrated citizens, and broken programs.

Two main types of policy research
When we do policy research, we usually fall into two big categories: policy analysis and policy evaluation.
Policy analysis
Policy analysis happens before a policy is put in place. You’re looking at different policy options and comparing them to see which one makes the most sense.
You might run a cost-benefit analysis, check the feasibility of different programs, or model what might happen under different scenarios.
For example, if a government is thinking about expanding childcare subsidies, policy analysts would look at how much it would cost, how many families it would help, and what economic benefits might come from more parents being able to work.
Policy evaluation
Policy evaluation kicks in after a policy has been implemented. Now you’re measuring whether it’s working the way it was supposed to.
You might study the social return on investment, check for equity outcomes, or look at who benefited and who didn’t. Sticking with the childcare example, an evaluation would look at whether the subsidies actually helped low-income families, whether child enrollment increased, and if parents’ employment rates improved.

Both types are critical. Without analysis, you risk picking bad policies. Without evaluation, you don’t know if your policies are doing any good.
Three levels of policy research
Policy research doesn’t all happen at the same level, and it’s a lot more complicated than policy cycle visuals might admit. We can think about it in three layers, depending on where you are in the policymaking process.
Directional policy research
Directional research sits at the top. You’re helping policymakers set big-picture goals and priorities. For example, deciding whether the country should focus more on affordable housing or climate change over the next decade.
Strategic policy research
Strategic research comes next. Now you’re working out the details of how to achieve those goals. If affordable housing is the priority, what kind of housing programs make sense? What policies have worked in other places? What’s the likely cost?
Operational policy research
Operational research sits on the ground level. Here you’re focused on running and improving specific programs. Maybe you’re studying whether one housing program works better in urban areas while another is better for rural communities. You’re looking for ways to optimize delivery and outcomes.

Each of these levels comes in at different stages of the policymaking process.
- Directional research shows up early, when leaders are trying to set national or regional priorities.
- Strategic research kicks in once those priorities are clear and it’s time to design actual policy measures.
- Operational research happens later, when programs are being rolled out and we need to see how they perform in the real world.
True policy analysis or evaluation is a complex, multi-step process that moves back and forth between stages. A good policy researcher knows how to work at each level depending on where the policy stands. We’ll touch on this some more in future articles.
Research methods and approaches for policy research
When you’re doing policy research, how you collect and analyze information really matters. There are three main approaches: qualitative, quantitative, and mixed-methods.
Qualitative research
Qualitative research helps you understand people’s experiences, opinions, and motivations.
You might sit down for interviews with stakeholders, run focus groups with affected communities, or dive deep into case studies of similar policies.
This kind of research gives you rich, detailed stories that help explain why certain policies succeed or fail.
Quantitative research
Quantitative research is about the numbers. You’re collecting data that can be measured and analyzed statistically.
That might mean running national surveys, using econometrics to model the effects of tax policy, or building predictive models to forecast the outcomes of proposed health policy changes.
The goal is to produce clear, testable findings that show what’s happening at scale.
Mixed-methods
Mixed-methods research combines both. You might run a large survey to see how widespread a problem is, then follow up with interviews to understand the deeper reasons behind the numbers.
In real-world public policy research, mixed-methods are common because they give policymakers both the big picture and the personal stories behind it.
For example, if you’re researching unemployment policy, you might use government labor data (quantitative) and interviews with unemployed workers (qualitative) to inform your analysis.

The policy research process explained
Let’s talk about how policy research actually happens. You don’t just sit down and start writing. It’s a process, and each step builds on the one before it. The steps include:
- Research question framing
- Literature review
- Data collection
- Data analysis
- Output drafting
- Research communication
- Monitoring and iteration
It all starts with framing the research question. This is where you define exactly what problem you’re trying to solve. A clear, focused research question keeps your work on track and makes sure you’re answering the right thing.
Next is the literature review and desk scan. You check what’s already been studied. You pull reports from Google Scholar, government agencies, think tanks, and previous research projects. This helps you avoid reinventing the wheel and spot gaps in existing policy research.
Then comes data collection. Depending on your research method, you might run surveys, interview policy actors, analyze administrative data, or pull public opinion polling.
Once you have your data, you move to analysis and synthesis. This is where you start making sense of what you’ve collected. You’re looking for patterns, trends, and insights that answer your research question and inform the policy problem.
After analysis, you draft your outputs. That could be a policy brief, a white paper, or a full report with clear policy recommendations for decision makers.
You’re not done yet. Dissemination and engagement come next. You share your research findings with policymakers, agencies, advocacy groups, and other stakeholders. The goal is to make sure your research evidence reaches the people who can use it.
Finally, you monitor and iterate. As policies get implemented, new data comes in. You update your analysis and refine your recommendations based on real-world results. Policy research is never really finished. It evolves as the policy landscape changes.

Example of a policy research project
Say you’re tasked with researching the impact of a new national job training program. You start by framing your research question: is the program helping unemployed workers find stable, long-term employment?
You do a literature review, pulling existing studies from Google Scholar, government agencies, and think tanks. You find some previous research, but not enough on the specific group your program serves.
You collect data by running national surveys, interviewing program participants, and pulling administrative data from government agencies. Your analysis shows that participants who completed the program had a 25% higher employment rate after six months.
You draft a policy brief summarizing your findings with clear policy recommendations for decision makers. Then you present these findings in a webinar to agencies and advocacy groups who can use your research to refine or expand the program.
Finally, you monitor outcomes over the next year, gathering new data to see if the improvements hold up over time. Based on that, you update your recommendations. That’s how policy research works in practice.
Key stakeholders and audiences in policy research
When you’re doing policy research, you need to know who you’re speaking to. Different people care about your research for different reasons.
Policymakers and legislators are the most obvious audience. They’re the ones making decisions based on your research findings. A good policy brief can help them quickly understand a complex policy problem and see clear policy recommendations.
Government agencies and regulators use research to shape how policies are implemented and enforced. They need research evidence to make programs work on the ground.
Think tanks like IPPR, Brookings, and RAND often produce public policy research themselves, but they also rely on outside research to inform their own policy analysis and policy evaluation projects.
Civil society and advocacy groups use research findings to push for policy change. They engage in policy engagement by bringing research evidence to public debates, lobbying policymakers, and educating the public on key social issues.

Typical outputs and formats from policy research
Policy research can generate all kinds of outputs, but producing the research is only half the job. The other half is making sure the findings actually reach the people who can act on them.
You might start with a policy brief. This is a short, punchy document that gives policymakers clear insights and specific recommendations. You may also produce full white papers or longer reports that dive deeper into your analysis, data, and research findings. We’ve produced a few of our own here.
Sometimes, the best way to communicate complex data is through infographics and data visualizations. Charts, graphs, and maps can help policymakers, agencies, and advocacy groups grasp key points quickly. Our design team has helped many brands create data visualizations for public use.
You can also share your research through webinars, blogs, and videos. These formats allow you to reach different audiences, including the media, civil society, and even the general public.

But too often, valuable public policy research ends up buried in long PDFs or gathering dust on a shelf. If the findings don’t get into the hands of policymakers, government agencies, and policy actors at the right moment, the entire research process risks becoming irrelevant.
That’s where research communications firms like Column come in. We help public policy researchers turn dense reports into accessible, engaging content that reaches decision makers and drives real policy engagement.
In today’s noisy information environment, getting policy research evidence in front of the right audiences is just as important as producing it in the first place.
Real-world examples of policy research projects
How does all this play out in real life? Here are some real policy research examples.
At the strategic level, IPPR’s “10 Principles for Better Government” is a good example. Published in 2013, the report pulled together mixed evidence—from public service evaluations, community wellbeing data, and social science research—to help policymakers rethink the role of government.
Instead of tinkering with individual policies, they argued for whole-system reforms, emphasizing principles like reducing inequality, building community resilience, and making public services more relational and responsive.
The IPPR has helped shape public service reform discussions in the UK, influencing how government agencies approach long-term priorities, policy design, and cross-sector collaboration.
Brookings has done extensive cost-benefit analysis on education reforms. In a 2025 study, they looked at how early childhood education programs not only improve long-term outcomes for kids, but also increase parental income and workforce participation.
The research found that as parents gained stable childcare, many were able to take on better jobs or work more hours, creating additional household income that lasted years beyond the child’s participation.
These added economic benefits helped offset program costs and made a stronger fiscal case for expanding early learning investments.
These aren’t just academic exercises. They shape real-world policy decisions every day.
Tools and resources for policy research
Policy researchers depend on a range of tools to collect, analyze, and share data.
For data platforms, many start with open government data sources like GOV.UK data or World Bank Open Data. These provide access to a wide range of economic, social, and health policy indicators that can inform policy analysis.
Bibliographic tools like Google Scholar (for academic research) and Mendeley, and AI tools like Perplexity, help researchers find and organize existing policy research projects. They’re essential for building your literature review and ensuring you’re working with the latest research evidence.
For analysis, software like R, Stata, and NVivo handle the heavy lifting. R and Stata are widely used for quantitative analysis, econometrics, and predictive modeling. NVivo is useful for qualitative research, helping researchers code and analyze interviews, focus groups, and case studies.
Having the right tools makes the research process smoother and allows you to focus on producing strong, actionable research findings that can drive better policymaking.
Challenges and best practices of policy research
Policy research is powerful, but it’s not easy work. You’ll run into some common problems that require real care to manage:
- Data gaps and bias
- Political interference and stakeholder bias
- Equity and inclusion challenges
- Time challenges
First, there are data gaps and bias. Sometimes the data you need just doesn’t exist, or it’s incomplete. You have to triangulate, which means pulling from multiple sources to fill those gaps and double-check findings. The more perspectives you bring in, the stronger your research evidence becomes.
Political interference and stakeholder bias are also real threats. Policy makers and agencies may pressure researchers to produce results that fit a certain agenda. A good policy analyst or researcher stays transparent about methods, sticks to the evidence, and communicates limitations clearly.
Equity and inclusion matter too. If your research only reflects the experiences of certain groups, your policy recommendations might leave others behind. Always make sure you’re capturing diverse voices, especially from groups directly impacted by the policy problem.
Finally, there’s the challenge of time. The policymaking process moves fast. Researchers often face tight deadlines that make it tempting to cut corners. Don’t. Build strong research designs from the start, even if it means narrowing your research question to something more manageable.

Example of challenges: Health research policy issue
Imagine you’re evaluating a new health policy meant to reduce hospital readmissions. Right away, you spot what we all dread: your data’s a mess. Some hospitals log data one way, others another. And the folks most at risk—low-income patients, minority groups—aren’t even fully represented.
So you start pulling what you can from multiple sources: electronic health records, insurance claims, patient interviews. You’re basically piecing together a puzzle with half the pieces missing.
When you finally run the numbers, you see that while the policy technically works—overall readmissions are down—it’s not actually helping the poorest patients much. The people who needed to feel the policy impact most aren’t seeing the benefits. You flag that clearly in your policy brief because sweeping inconvenient facts under the rug never ends well.
But now the politics kick in. A government agency wants to use your research results to justify extending the program’s funding. They suggest, gently but firmly, that you might not need to highlight those equity gaps quite so loudly. You hold your ground. The data says what it says. You lay out your limitations, your methods, and your uncomfortable findings.
Meanwhile, deadlines close in. The temptation to cut corners creeps in—skip the interviews, rely on easy data pulls, get something passable out the door. But you know where that leads: weak health policy research that can’t stand up when it matters most. Instead, you tighten the scope, do the tough interviews, and deliver a piece of research that’s solid enough to survive scrutiny—and maybe, just maybe, shift the conversation for real.
Handling these challenges well is what separates average research from work that actually shapes policy change.
Final thoughts on policy research
At its core, policy research is about bringing light to some very messy, very real problems. It’s not perfect, it’s not always clean, and it’s rarely simple. But done right, it gives policymakers and agencies something better than guesswork: evidence that can actually steer the decision making process toward better outcomes.
If you’re serious about getting better at this work as a policy analyst, political science major, or lawmaker, there are plenty of next steps. These include training courses, research fellowships, and new methods you can pick up to sharpen your craft. We’ll cover some of these in a future article.
And if you’re sitting on good research that’s gathering dust, let’s talk. My team at Column helps researchers turn heavy reports into clear, accessible content that reaches the policymakers, agencies, and advocates who can actually use it.