Beyond the Numbers: Why Open-Ended Survey Responses Deserve a Closer Look
How translation, transcription, and careful handling of customer feedback help market researchers uncover insights that numbers alone cannot explain
A survey might tell a company that 65% of its customers are satisfied with a product. That number is useful, but it doesn’t explain what customers appreciate, what frustrates them, or what they would change.
Those answers often appear in the open-ended section of a questionnaire.
Unlike multiple-choice questions, open-ended questions allow respondents to explain their experiences in their own words. They might mention an unexpected product issue, describe a frustrating customer service interaction, or suggest an improvement that the research team hadn’t considered.
For market researchers, these responses can be some of the most valuable parts of a study.
But they also introduce a challenge, especially when research involves hundreds or thousands of responses written in different languages.
How do you organize feedback without stripping away the meaning behind it?
The Client Experience: When Survey Responses Didn’t Fit the Categories
Imagine a market research agency conducting a customer satisfaction study for an international retail company.
The survey is distributed across several countries and includes a combination of rating questions, multiple-choice options, and open-ended questions.
The quantitative results are relatively straightforward to organize. The research team can calculate satisfaction scores, compare responses, and identify differences between markets.
The written comments are another matter.
Some customers provide detailed explanations. Others write only a few words. Several use local expressions, while some combine English with their native language.
The team also notices that customers sometimes describe the same problem differently.
For example:
- “The delivery took forever.”
- “My order arrived later than expected.”
- “I wasn’t informed when my package was delayed.”
- “The tracking information wasn’t updated.”
At first glance, these comments could all be grouped under delivery problems.
However, they don’t necessarily describe the same experience.
One customer is concerned about speed. Another is describing a communication issue. Someone else may be frustrated because the tracking system failed to provide useful information.
If all these responses are placed under one broad category, the research team risks overlooking the specific problems customers are reporting.
The challenge becomes even greater when these comments are written in different languages.
The agency realizes that organizing survey responses requires more than translating individual sentences and placing them into a spreadsheet.
It needs a process that preserves the original meaning while making the information easier to review and analyze.
Why Open-Ended Responses Are Harder to Analyze
Open-ended responses give participants freedom to express themselves, but that freedom makes the data less predictable.
There are several reasons why research teams need to handle these answers carefully.
1. Respondents don’t always use the same words to describe the same experience
A customer might describe a service as slow, inconvenient, frustrating, or unreliable.
These expressions may relate to the same general issue, but each can communicate a slightly different experience.
For example, “slow” might refer to the time required to complete a transaction, while “unreliable” could refer to inconsistent service.
If researchers group comments based only on similar keywords, they may miss these distinctions.
A better approach is to examine the full response and consider the context behind the words.
2. Short answers can be difficult to interpret
Not every respondent writes a complete sentence.
Some answers consist of phrases such as:
-
“Too expensive.”
-
“Not user-friendly.”
-
“Could be better.”
-
“No response from support.”
These comments provide useful starting points, but they don’t always explain the reason behind the respondent’s opinion.
Researchers should avoid assigning meanings that aren’t supported by the available information.
For example, “too expensive” might refer to the product price, shipping costs, or the perceived value of the service.
When the survey doesn’t provide enough context, the response should be treated as limited rather than interpreted as something more specific.
3. Local expressions don’t always have direct translations
Multilingual surveys introduce another layer of complexity.
A respondent might use an expression that communicates dissatisfaction, disappointment, or hesitation in their language. A direct translation may preserve the basic meaning but lose the strength or nuance of the original statement.
This can affect how the research team interprets customer sentiment.
Consider a customer who uses a local expression to describe a service as troublesome or inconvenient. Translating it into a general word such as “bad” may remove the specific reason behind the complaint.
A careful translation should preserve the intended meaning as closely as possible, particularly when the wording contributes to the research findings.
4. Mixed-language responses require additional attention
In multilingual environments, respondents sometimes switch between languages within a single answer.
This is common in markets where people regularly communicate using more than one language.
For example, a respondent might write a sentence primarily in their native language but use an English technical term to describe a product feature.
If the translator treats the English word separately from the rest of the sentence, the intended meaning may become unclear.
The entire response needs to be considered as one piece of communication.
How Translation Helps Researchers Work With International Survey Data
When a research project involves several languages, translating open-ended responses can make the collected information accessible to a wider research team.
However, the objective should not be to make every response sound identical.
Different participants have different ways of expressing their opinions. Their wording, level of detail, and cultural context can all contribute to what the research team learns.
A thoughtful translation process should consider:
Meaning rather than word-for-word equivalence. Expressions should be translated according to their intended meaning and context.
Consistent terminology. Product names, technical terms, and recurring concepts should be translated consistently throughout the project.
Preservation of important details. Qualifiers, negative statements, uncertainty, and specific complaints should not disappear during translation.
Transparency around unclear responses. If a response is incomplete or genuinely ambiguous, it should be flagged rather than assigned an unsupported interpretation.
For larger studies, a terminology guide can help translators maintain consistency across thousands of comments.
This is especially useful when several translators are working on the same research project.
An Important Step: Organizing Responses Without Changing Their Meaning
Returning to the retail research project, the agency decides to establish a more structured workflow for handling the responses.
Instead of immediately grouping every comment into broad categories, the team first makes sure the original information is preserved and understood.
Step 1: Organize the original responses
Each response is kept alongside its relevant survey question and respondent identifier, using the project’s confidentiality requirements.
This allows researchers to understand what prompted the answer rather than reviewing an isolated sentence.
Step 2: Translate the responses where necessary
The multilingual responses are translated into the working language of the research team.
The translators pay particular attention to local expressions, mixed-language answers, and terminology related to the retail industry.
Where meaning is unclear, the response is flagged for further review.
Step 3: Standardize terminology
The team develops a consistent set of terms for recurring concepts such as delivery delays, payment difficulties, product availability, and customer support.
This makes it easier to compare comments across languages without forcing different experiences into the same category.
Step 4: Review the responses before categorization
The translated comments are checked for clarity, completeness, and consistency.
Researchers can then begin identifying themes based on what respondents actually communicated.
Step 5: Compare written feedback with quantitative results
Finally, the team reviews the open-ended responses alongside the numerical survey results.
For example, if delivery satisfaction receives a low rating, the written comments may help explain whether the issue relates to delays, communication, tracking, or order accuracy.
This creates a more detailed picture of customer experience.
The numbers show where a problem might exist. The written responses help researchers investigate why.
What About Survey Responses Submitted as Audio?
Not every research project collects written answers.
Some studies allow participants to record spoken responses, particularly when researchers want more detailed explanations or are working with participants who prefer speaking rather than typing.
In these situations, transcription becomes an important part of the process.
Audio responses need to be converted into written text before they can be systematically reviewed alongside other survey data.
A well-prepared transcript can help researchers:
- Search for specific terms and recurring comments.
- Compare spoken responses across participants.
- Locate important statements using timestamps.
- Review the exact wording of participant answers.
- Translate spoken responses when the research team works in another language.
For multilingual audio surveys, transcription and translation may be needed together.
The original recording should remain available for verification, particularly when a participant’s wording is unclear or a translated statement will be used as evidence in a research report.
Five Things Research Teams Should Consider When Handling Open-Ended Responses
Before starting a large survey project, it helps to establish how written and spoken responses will be processed.
Here are five practical considerations.
1. Decide how responses will be formatted.
Determine whether the research team needs a spreadsheet, structured document, or another format that preserves respondent identifiers and original answers.
2. Establish terminology before translation begins.
Provide translators with relevant product names, industry terminology, and a glossary where appropriate.
3. Preserve the original language.
Keeping the original response alongside the translated version allows researchers to revisit wording and verify important findings.
4. Avoid interpreting incomplete answers.
A short or unclear response should not be expanded into a conclusion that the participant never expressed.
5. Review recurring themes against the actual responses.
Before presenting findings, researchers should verify that the categories and conclusions are supported by what participants said.
These practices help make the research process more transparent and reduce the risk of losing valuable information during translation and organization.
Why the Smallest Responses Can Sometimes Matter Most
A detailed response isn’t automatically more valuable than a short one.
Sometimes, a single sentence highlights an issue that appears repeatedly across a much larger group of respondents.
A customer might write, “I didn’t know who to contact.”
It is a short comment, but when similar responses appear throughout a survey, it may point to a broader problem with customer support accessibility.
The important part is not the length of the answer. It is what the response reveals when considered alongside the rest of the research.
This is why open-ended feedback deserves careful handling.
Researchers should be able to return to the original words, understand the context, and distinguish between what participants explicitly stated and what the analysis suggests.
Turning Customer Feedback Into Information Researchers Can Actually Use
Market research doesn’t end when the last survey response comes in.
The information still needs to be organized, understood, and prepared for analysis.
For international research projects, language differences can make this process more demanding. A response that is easy to interpret in its original language may become difficult to compare with other answers when translated without sufficient context.
Accurate translation, proofreading, and transcription help make these materials more accessible while preserving the details researchers need.
At Transcribe and Translate, we support research teams with transcription, translation, and proofreading services for interviews, survey-related materials, and other research content.
Whether you’re working with written customer feedback, multilingual questionnaires, or recorded survey responses, having properly prepared language materials can make the next stage of your research more manageable.
Working with multilingual survey responses?
Let us help you prepare your research materials for clearer review and analysis.
