If you have an overwhelming amount of open-ended survey responses to code, you may be considering hiring a market research coding service provider to code it for you.
While manual coding has been considered the gold standard for many years, recent advancements in AI have transformed the landscape. Now, you may also consider AI-powered software that can code verbatim responses with speed and accuracy that rival and even surpass manual coding services.
In this article, we’ll share some of the top market research coding services and alternatives to hiring a provider for better data speed and accuracy.
Use Blix’s AI-powered verbatim coding software as a more effective alternative to manual coding services.
Manual coding is still the mainstream way of coding market research data. There are a few reasons why you may hire manual coding services, including:
As we said earlier, manual coding was the gold standard for many years. If you’ve been in the market research field for a long time, it may just be that you’ve gotten used to the way things are. It’s working fine for you, and we understand that.
But times are changing, and this may not be the best approach any longer.
Despite advancements in automation, some clients still ask for (and perhaps even require) exclusively manual coding due to regulatory reasons, company policies, or concerns about data accuracy. Outsourcing manual coding ensures these needs are met.
Outsourced manual coding can be bundled with complementary market research services such as:
Manual coding can be accurate and tailored to fit your needs—if you’re lucky to find the right service provider.
While it makes sense to use market research coding services in some scenarios, it does have some downsides to be aware of.
There are seven issues you should consider before hiring a market research coding service:
Manual coding is inherently time-consuming, particularly for large datasets. Since every response must be read, interpreted, and categorized by a person, this process can create bottlenecks and take a long time to complete. It may even delay the research delivery time you can offer your customers.
Outsourcing requires clear communication between researchers and coders. If the instructions, categories, or guidelines are unclear, it can slow down the workflow by adding more back-and-forth.
Coders working on multiple projects simultaneously may also struggle with context switching, making it take even longer.
Outsourced coding teams typically lack firsthand knowledge of the customer, the research objectives, or the broader context of the study. This disconnect means that the researcher who understands the target audience and research goals has less control over how responses are interpreted and categorized.
Manual coding is susceptible to inconsistencies, misinterpretations, and individual coder biases. This can lead to errors in categorization, requiring additional quality control checks.
Multilingual surveys require specialized coders fluent in the target languages. In some cases, translations must be done before coding, adding more time and cost.
If the coding process needs to account for regional dialects, slang, or industry-specific jargon, finding qualified specialists can be difficult.
For businesses handling high volumes of qualitative data, manual coding can become prohibitively expensive. The cost of hiring human coders—especially those with industry expertise or language proficiency—adds up quickly.
If a client wants to refine or adjust coding categories after the coding is done, you often have to start from scratch. Manual re-coding may require even more time and money.
If you still want to hire coding services, here is a list of the best manual market research coding providers and the regions they serve. If you want to consider a better alternative, keep reading.
Instead of hiring market research coding services, consider using AI verbatim analysis software.
In recent years, AI technology has significantly improved, shifting from basic keyword-based coding (as seen in tools like Ascribe, NVivo, and MaxQDA) to meaning-based coding powered by large language models (LLMs) like ChatGPT.
These new AI-driven tools understand context, intent, and tone—producing results that closely mirror human reasoning while eliminating many of the drawbacks of manual coding.
Imagine you’re analyzing thousands of open-ended survey responses about a new product launch. Instead of spending weeks manually categorizing answers or outsourcing to an expensive coding team, you can use Blix to:
This means faster insights, lower costs, and more control over your research process—with zero reliance on external coding teams. And you can book a demo for free.
If you’ve been a professional market researcher for a long time, it’s understandable to be hesitant about switching to using AI. To help you understand what you’re getting into, here are some common questions and answers about AI verbatim analysis software:
Doesn’t manual coding provide the best quality?
This may have been the case years ago, but today, AI-driven coding now meets or exceeds human quality by reducing bias and applying meaning based coding for greater accuracy.
Do you have to be tech-savvy or understand AI to use the software?
Blix is designed for market researchers, not programmers. It’s intuitive, easy to use, and requires no prior AI knowledge.
What if our clients want manual coding?
What clients really want is high-quality, fast results. AI ensures accuracy and speed while demonstrating that your research team is using the most advanced tools available.
Is the software expensive?
Blix is more cost-effective than manual coding, especially for large datasets. It eliminates labor costs and speeds up analysis to let you run faster and do more business.
Is AI software private and secure?
Blix does not use your data to train AI models. Your data stays private and secure, and is only used for your analysis—never leaving your control.
Can’t we just use ChatGPT for that?
While technically you can use ChatGPT for text analysis and coding, it’s not a good option. It’s inconsistent, it hallucinates answers, and it’s not private or secure for sensitive data.
As the research industry shifts toward more efficient, scalable, and accurate data processing, AI-powered solutions like Blix are setting a new standard.
Whether you need to analyze thousands of responses quickly, reduce costs, or maintain full control over your coding process, Blix is the smart, future-proof choice.
Why settle for slow, expensive, and inconsistent manual coding when you can get faster, more accurate results with AI? Book a demo of Blix today.
Quickly turn text into insights—no manual coding needed.
The four main types are:
Most survey analysis focuses on descriptive analysis, with diagnostic analysis used to explain key drivers.
Common survey methods include:
Online surveys are the most popular types used today due to speed, reach, and ease of analysis.
Manual verbatim coding becomes inefficient and inconsistent as response volume grows. Software-based analysis platforms, such as Blix, support scalable qualitative analysis by automatically organizing, categorizing, and summarizing text responses across large datasets.
Save hours of manual work with AI powered open ends coding, with human-level quality and zero manual work.
Turn qualitative feedback into data and insights in minutes, with a few clicks.
Blix is trusted by top brands and market research firms worldwide:
