Earning tips

Why "I do not know" can be the most useful answer

You might feel pressure to have an opinion on every survey question. However, choosing "I do not know" is completely fine and often exactly what researchers need to see.

A man in his twenties in Lima takes a survey on his phone on a bright rooftop terrace with plants, smiling to himself.

Key points

  • Guessing throws off research results and can cause companies to make poor decisions.
  • Choosing "I do not know" or "Not applicable" tells researchers exactly where their blind spots are.
  • Survey platforms use quality scores to measure honesty and consistency over time.
  • Honest answers protect your account and keep you eligible for future research studies.

The pressure to have an answer for everything

When you take a paid survey, you might feel like you need to have an opinion on every topic. You see a list of soft drinks, and you feel pressured to remember exactly which ones you bought last month. If you are not sure, you might be tempted to guess.

However, you do not have to be an expert on everything. Market researchers actually want to know what you remember naturally. If you draw a blank, that is a valuable piece of information.

Saying "I do not know" tells a company that their advertising might not be working. It tells a product team that their new feature is not memorable. These honest answers help shape better products and services for everyone.

How guessing damages survey data

When a researcher creates a survey, they are trying to gather accurate information to make business decisions. This is often called data quality. Data quality simply refers to how truthful, consistent, and useful the survey responses are.

If you guess an answer, you introduce errors into the research. Imagine a clothing brand asking if you have seen their new winter coat advertisement. If you say yes just to be helpful, the brand might think their advertising is reaching the right people and spend money on the wrong ads.

Guessing also confuses the results when combined with answers from other members. To learn more about how your answers are grouped together, you can read about what happens to your survey after you click submit. Researchers rely on large groups of people giving their true experiences.

Sometimes researchers even include fake brands or fictional products in a list to test attention. These are called trap questions. If you claim to buy a product that does not exist, the survey system will flag your response as a guess.

The difference between not knowing and not applicable

Many survey questions give you a few different ways to decline to answer. It helps to understand exactly what each option means.

"I do not know" means you understand the question, but you lack the information to answer it. For example, a survey might ask how much your household spends on electricity each year. If your partner pays that bill, you might genuinely have no idea.

"Not applicable" means the question does not fit your life situation at all. If a survey asks how often you walk your dog, but you only own a cat, the question does not apply to you.

Here is a quick guide to choosing the right option. Knowing the difference saves you time.

  • Choose "I do not know" if you forgot a detail, like the exact year you bought your television.
  • Choose "Not applicable" if the scenario does not fit you, like asking about your commute when you work from home.
  • Choose "Prefer not to answer" if the question asks for personal details you are not comfortable sharing.

Taking a moment to pick the correct reason helps researchers organize the results properly. They rely on accurate categories to understand different groups of people.

Paying attention to rating scales

Surveys often use rating scales to measure how much you like or dislike something. You might see a statement and be asked to rate it from "Strongly agree" to "Strongly disagree".

Sometimes, you might not have strong feelings either way. If a survey asks if you like the packaging of a certain brand of rice, you might have never noticed the box. In this case, choosing "Neither agree nor disagree" is the most honest choice.

Do not just pick the highest or lowest rating to finish the page faster. Researchers look for patterns in how people use scales. If you always pick the first option on every row, it looks like you are not reading the text. This behavior is known as straight lining.

Straight lining tells the system you are rushing. Taking your time to read the scales, and picking a neutral option when you truly have no opinion, shows you are paying attention.

How honesty protects your quality score

Quality scores matter. Survey platforms track how carefully you answer questions over time, which affects the invitations you receive.

Most survey panels use a background system to measure how well members take surveys. This is known as a quality score. Your quality score goes up when you give thoughtful, consistent answers. It goes down if you rush, fail trap questions, or give contradictory information.

Admitting you do not know something protects your quality score. It proves you are reading the questions and thinking about your actual life experiences. If you guess, you might contradict yourself later. For example, you might guess that you own a certain brand of laptop in one question, but later state you do not own a computer at all.

A low quality score can lead to fewer survey invitations. Eventually, it can even cause an account to be suspended. Honesty is the safest way to maintain a healthy account and continue earning rewards. You can learn more about how panels operate by reading how online survey panels work.

When a survey forces you to choose

Sometimes you will find a survey question that does not include an "I do not know" or "Not applicable" option. You might feel stuck on the page.

First, reread the question carefully. Sometimes the answer options cover all possibilities in a way you missed at first glance.

If the question asks about a product you do not use, look for an option that says "None of these" or "Other". If there is truly no way to answer honestly, you might have to leave the survey. This happens occasionally when a survey is poorly designed by the creator.

While it is frustrating, closing the window is better than providing false data just to move forward. Poorly designed questions are a common reason people exit surveys early. You can read more about why you get screened out to understand other reasons a survey might end suddenly.

Take your time and be yourself

Remember that your true opinions are what make market research work. Companies need to hear from real people with real memories, preferences, and blind spots.

If you do not remember a brand, or you have no idea how a technical feature works, say so. That honesty is exactly what makes your feedback worthwhile. Taking your time to read each question ensures you provide the best possible responses.

If you are ready to share your actual opinions and earn rewards, you can create a free account with Reward Hours today. Your honest voice helps build better products for the future.

Common questions

Will I get screened out if I choose "I do not know"?

Sometimes a survey requires people who are familiar with a specific topic. If you do not know about that topic, the survey might end early. This is normal and helps ensure the researchers get feedback from the right group of people.

Does choosing "I do not know" reduce my rewards?

Honest answers never penalize your account standing. If a survey ends early because you do not know a specific brand, you will not receive the completion reward for that full survey. However, being honest keeps your quality score high for future opportunities.

What if I accidentally guess an answer?

Everyone makes small mistakes occasionally. If you realize you guessed incorrectly on a previous page, just continue answering the remaining questions as honestly as you can. Consistent honesty over time is what protects your account quality.

Reward Hours team

Written by the people who run the Reward Hours panel at Research and Metric, a market research fieldwork company working in 35+ countries.

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