Survey Analysis: The Ultimate Guide to Understanding Your Results

When you’re looking to improve your business and sales, you need to understand your customers. Surveys help you gain valuable insight into how people think. Once you’ve decided to send out a survey, you need to take care in designing it. You want to get the most reliable results possible.

After you’ve taken the time to conduct your survey, you need to understand your results. Survey analysis will give you insight into what the numbers really mean. Then you can figure out where to go from there. Simply put: you need to know how to interpret your results.

Look at your research question

Why do you create your surveys? Because there is an overarching question that you’re looking to solve. Learn to understand the analysis of your survey questions. Then you can look at how these questions will answer your goal.

How to analyze your survey results

There are four different levels of measurement. You’ll want to understand all levels before diving in to analyze your data.

A nominal scale that classifies data without a quantitative value. These are like labels.
An ordinal scale. This depicts the order of values. This scale has a quantitative value because one rank is higher than another.
An interval scale will show both the order and the difference between values.
Finally, the ratio scale is the same as an interval scale except that it has a true value point.

Analyze the quantitative data first

This data uses statistics to draw conclusions. Close-ended questions provide the data. You can then compare results and see trends in the behavior of your customers. This quantitative data will help you understand the qualitative data as well.

Use cross-tabulation

Cross-tabulation analysis compares two sets of data within one chart. You will have some responses to your survey that might not be within your target audience. This skews your results. Segment results to analyze how your target audience responded to your survey. Cross-tabulation will reveal insights based on responses to your different questions. This helps you narrow down your results to your target audience.

Causation does not equal correlation

Once you have your results, you need to know that the conclusions you’re drawing are accurate. When two things look connected, it doesn’t always mean one caused the other. There’s usually another factor.

When it comes to your business, you can’t just depend on your gut. Surveys are an essential piece of understanding your target audience. When you know how to accurately conduct survey analysis, you get greater insight into your business. This information will help you build toward the future.

Mixed Methods: How Quantitative and Qualitative Methods Can Best Guide Your Results

Data-driven decision-making has become essential for nonprofits and government organizations working in complex fields like public health and education. Leaders are expected to justify investments, demonstrate outcomes, and respond to community needs—all while navigating limited resources and high public accountability.

Surveys and other quantitative tools are often the backbone of this work. But numbers alone rarely tell the full story. To truly understand what’s working, what’s not, and why, organizations benefit most from a mixed methods approach—one that intentionally integrates quantitative and qualitative research.

What Are Mixed Methods?

Mixed methods research combines quantitative data (such as surveys, administrative records, and statistical analyses) with qualitative data (such as interviews, focus groups, and open-ended responses). Rather than treating these approaches as separate or competing, mixed methods leverage the strengths of both to produce deeper, more actionable insights.

In practice, this might mean:

Using surveys to identify patterns or trends across a population
Following up with interviews or focus groups to understand the lived experiences behind those patterns
Integrating both forms of evidence into a single, coherent narrative for decision-makers

Why Quantitative Data Alone Isn’t Enough

Quantitative research excels at answering questions like:

How many people are affected?
How often does something occur?
Is there a statistically significant difference between groups?

For nonprofits and government agencies, these metrics are critical for benchmarking, compliance, grant reporting, and performance monitoring. However, surveys often fall short when it comes to understanding:

Why respondents answered the way they did
How context, culture, or lived experience influences behavior
What barriers or facilitators exist beyond predefined answer choices

Without qualitative insight, organizations risk making decisions based on incomplete or oversimplified interpretations of the data.

The Power of Qualitative Insight

Qualitative methods—such as in-depth interviews and focus groups—add nuance and meaning to quantitative findings. They help uncover:

Root causes behind trends observed in survey data
Language and framing that resonates with communities
Unanticipated issues that structured surveys may miss

In public health, for example, a survey might show low participation in a prevention program. Interviews can reveal whether barriers stem from trust, access, cultural relevance, or communication gaps. In education, focus groups with students, parents, or educators can explain why certain policies succeed in one context but struggle in another.

Qualitative research doesn’t replace quantitative rigor—it strengthens it.

Why Mixed Methods Examples for Public Health and Education

Public health and education systems are deeply human systems. Outcomes are shaped not only by policies and resources, but by beliefs, behaviors, relationships, and community context.

A mixed methods approach helps organizations:

Design more effective programs by grounding strategies in both data and lived experience
Improve equity by ensuring that marginalized voices are heard and understood, not just counted
Strengthen stakeholder buy-in by pairing statistics with authentic narratives
Make better decisions by reducing the risk of misinterpreting numbers without context

For government agencies, mixed methods also support transparency and accountability by providing evidence that is both measurable and meaningful to the public.

How Mixed Methods Improve Survey Research

As a survey research company, we see qualitative methods not as an add-on, but as a strategic complement to strong survey design. Qualitative research can:

Inform survey question development to ensure clarity and relevance
Help interpret unexpected or ambiguous survey findings
Validate quantitative results through triangulation
Guide recommendations that are realistic and community-informed

When used together, surveys provide the scale, and qualitative methods provide the depth.

Turning Data Into Action

The ultimate goal of research—especially in mission-driven fields—is not just insight, but impact. Mixed methods research produces findings that are easier to translate into action because they answer both:

What is happening?
Why is it happening, and what should we do about it?

For nonprofits and government organizations facing complex challenges, this integrated approach leads to smarter strategies, stronger programs, and better outcomes for the communities they serve.