Designing Good Surveys: A Questionnaire Guide for Field Teams

Surveys & Data - 2026-11-11 - ATTPL EMS

Illustration of a phone survey form beside multiple-choice questions and a results chart

Good decisions need good data. Whether a panchayat is planning water works or an organisation is gathering public feedback, the quality of a survey depends on its design. A few principles make results more accurate and more useful.

Start with clear objectives

Write down what decisions the survey will inform and which questions are essential. Every question should earn its place; long surveys tire respondents and reduce accuracy.

Writing good questions

Use simple, local language and test translations.
Ask one thing per question; avoid double-barrelled questions.
Avoid leading wording that suggests an answer.
Offer balanced answer options, including “don’t know” where relevant.
Put sensitive questions later, after building rapport.

Sampling and fieldwork

Define who you need to hear from and how many responses you need.
Spread interviews across areas, genders, age groups and times of day.
Train enumerators to read questions exactly and record answers faithfully.
Pilot the survey with a small group and fix confusing questions.

Digital tools speed up fieldwork and checks; see our survey management features.

Consent, privacy and data quality

Explain the purpose, get consent and collect only the personal data you need. Store data securely and limit access, in line with India’s data protection law — see voter data privacy compliance and ATTPL IT’s DPDP Act guide. Back-check a sample of interviews, look for unusual patterns and clean data before analysis.

Frequently asked questions

How many questions should a field survey have?

As few as needed to meet the objectives; many field surveys aim to finish in 10–15 minutes.

What is a leading question?

A question worded to push respondents toward a particular answer, which biases results.

Do surveys need consent?

Yes, respondents should know the purpose and agree to participate, especially when personal data is collected.

Sources: Ministry of Statistics and Programme Implementation, Ministry of Electronics and Information Technology