Best practices in CATI research – effectiveness and efficiency

Effective CATI surveys – what really works?

In theory, everything seems simple—we have a respondent database, a prepared questionnaire, and trained interviewers. In practice, however, even the best-planned Computer-Assisted Telephone Interview (CATI) can encounter issues that reduce the effectiveness of the process and the quality of the data collected. Sometimes it’s due to technical errors, minor organizational oversights, or a mismatch between the plan and the real working conditions of the research team.

And yet, the benefits of telephone interviews are undeniable. That’s why it’s worth looking at proven practices that help not only to conduct the survey according to plan but also to achieve results that are genuinely useful—without wasting time or budget. What truly matters is not just the number of completed interviews, but the quality of the responses gathered—responses that will later inform reports and strategies. This article focuses on what really works in the field: how to improve interviewer performance, how to avoid common mistakes, and how to make smart use of the technology that supports the entire process. The goal isn’t to do more—it’s to do better.

CATI surveys – what is this method and when should you use it?

CATI, or Computer-Assisted Telephone Interviewing, is a quantitative research method involving telephone interviews conducted with the help of specialized software. The interviewer speaks with the respondent while entering answers directly into the system, which automatically guides the flow of the questionnaire—ensuring logical progression, filters, and skip patterns. At the same time, the system accurately and securely records responses, significantly reducing the risk of errors and speeding up data analysis. As a result, CATI combines the benefits of face-to-face interviews with the convenience and speed of telephone contact, while simplifying the entire data collection process.

Although the rise of online surveys (CAWI) has changed the research landscape, CATI remains highly effective for marketing research, public opinion polls, customer satisfaction studies, social research, and market analysis. It allows researchers to reach people from various age groups and locations, including those less active online—such as seniors or residents of smaller towns. Moreover, CATI enables real-time monitoring of interview quality and interviewer performance, ensuring a high level of control over the entire process.

Sampling and targeting respondents

A well-planned sampling process increases the reliability of results and reduces the risk of errors. This stage deserves special attention, as it directly impacts the overall effectiveness of the survey implementation. Recommended best practices include:

  • clearly defining the target group – this makes it easier to select respondents who meet the study criteria, improving data consistency and relevance;
  • applying the appropriate sampling method – such as random or quota sampling, to avoid disproportionality and ensure balance within the sample structure;
  • using up-to-date databases – this increases the chances of successful contact and reduces the number of failed call attempts;
  • implementing screening filters – these help eliminate random or irrelevant contacts, shortening the overall survey duration.

Questionnaire design – language, length, and logical flow

The design of the CATI questionnaire directly affects both the quality of the data collected and the respondent’s comfort during the interview. Language is particularly important—it should be simple, clear, and adapted to the communication level of the target group. Avoiding jargon or overly technical terms increases the likelihood of obtaining accurate responses.

The length of the interview is equally important—a survey that is too long may discourage participation and lead to dropouts. It’s essential to keep the number of questions to a necessary minimum, without sacrificing the core objectives. The logic of the questionnaire should be transparent and coherent—questions should flow naturally from one to the next, and the use of filters and skip logic helps avoid irrelevant questions. Unlike the PAPI method (Paper and Pencil Interviewing), where the interviewer fills out the questionnaire manually and must carefully follow the question order and recording accuracy, CATI minimizes the risk of technical errors by automating the logical flow of the survey.

The interviewer’s role – training and quality of interaction

Professional interviewers are responsible for direct contact with respondents during the computer-assisted telephone interview, and thus for the overall tone of the conversation and the level of participant engagement. That’s why proper training is critical. Key focus areas include:

  • comprehensive training – covering both the use of CATI software and the development of interpersonal skills. This ensures the interviewer feels confident and follows proper methodology;
  • understanding the research topic – a well-prepared interviewer can answer basic questions while remaining neutral and professional, which builds trust and credibility;
  • strong communication skills – politeness, flexibility, and active listening enhance the quality of interaction with the respondent;
  • ongoing performance monitoring – ensures high standards throughout the project and allows for quick response to any issues.

These well-trained professionals form the foundation of successful CATI research.


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Optimizing interview time and project costs

Although we’ve already covered the importance of a good questionnaire and the role of the interviewer, it’s worth taking a broader look at what contributes to efficient and cost-effective CATI survey execution. The key lies in how the entire process is organized. Simple but effective tools—such as auto-dialing systems—can significantly reduce the time between calls. Another important factor is scheduling call times strategically: the better they align with the respondents’ daily routines, the higher the likelihood of successful contact. For example, office workers are more likely to answer in the evenings, while retirees prefer mornings.

It’s also important that all data, statistics, and call progress are visible in real time on the interviewer’s screen. This allows for easy monitoring, reduces the risk of mistakes or repetition, and ensures a smoother flow. This approach pays off: more interviews can be conducted in less time and at a lower cost—without compromising data quality, thanks to a well-thought-out and organized process.

Automation and CATI-supporting systems

Today, automation in CATI research goes far beyond auto-dialing. Modern tools are increasingly being used to improve efficiency and simplify processes. Key solutions include:

  • voicebots – capable of asking simple questions and recording answers without human involvement. Ideal for large-scale projects where speed is crucial;
  • IVR systems (Interactive Voice Response) – allow respondents to answer using their phone keypad. Fast and convenient, especially for closed-ended questions;
  • chatbots – useful for scheduling interviews, sending reminders, or conducting initial respondent screening;
  • virtual PBX systems – centralize call management even when the entire team is working remotely.

All these tools enhance the performance of CATI projects by combining human flexibility with technological precision.

Common mistakes and how to avoid them

Like any research method, CATI can be affected by errors that reduce data quality and project effectiveness. The most common issues include:

  • poor sample selection – If respondents don’t meet the defined criteria (e.g., age, industry, location), the data becomes unreliable. This can be avoided by clearly defining the target group and using up-to-date, well-segmented databases;
  • low respondent availability – Difficulty reaching respondents is one of the most common challenges. Causes include calling at inconvenient times, reluctance to answer unknown numbers, or survey fatigue. Testing different call times and sending advance notifications (e.g., via SMS) can help;
  • low response rate – Even when contact is made, some people refuse to participate. Reasons include lack of time, trust issues, or poor experiences with previous surveys. A clear introduction, explanation of the purpose, and assurance of anonymity can improve participation;
  • data quality issues – such as inconsistent responses, missing answers to key questions, or interviewers rushing through surveys. These problems can be mitigated with consistency checks, automatic validation, and scheduled interviewer breaks;
  • lack of integration with other research systems – When CATI operates in isolation from CAWI or CRM systems, it becomes harder to analyze data holistically. Integrating data sources enables better information management and analysis.

All of these pitfalls can be avoided with proper planning—starting from sample preparation through to project monitoring. The foundation of successful CATI research lies in the right tools, a competent and well-managed team, and consistent quality control.

Telephone interviews with EasyCall – a proven approach to effective CATI research

CATI surveys don’t have to be expensive, tedious, or technically complicated—if you know how to plan and manage them properly. Best practices aren’t just textbook theory, but real-world actions that ensure the data makes sense and respondents—despite being on the other end of the line—feel heard and respected.

If you’re looking for a partner to help you organize a professional and effective call center, check out what EasyCall has to offer. With a team of experienced specialists, modern infrastructure, and a flexible approach, you can be confident your project will be carried out efficiently, reliably, and without unnecessary stress. With EasyCall, you gain more than just tools—you gain dependable quality you can count on.