Check-in question types and when to use them

The questions you ask determine the quality of the answers you get. Dailybot gives you four distinct question types, and each one is designed for a different kind of information. Picking the right type for each question makes your check-ins faster to answer and easier to analyze.

This guide walks through each question type, explains when it works best, and shows how to combine them for effective check-ins.

Open-ended questions

Open-ended questions accept free text input and let your team write as much or as little as they want. This is the most flexible type and the one you’ll probably use the most.

When someone answers an open-ended question, they can provide context, share details, and explain the “why” behind their work. Questions like “What did you accomplish today?” or “What’s the biggest risk on your plate right now?” work well in this format because they invite a thoughtful response rather than a one-word answer.

The tradeoff is that open-ended responses are harder to aggregate. You can’t easily chart or compare free text across 20 people. If you need quantifiable data, one of the structured types below will serve you better. But when you want rich, contextual information from your team, open-ended is the way to go.

Yes/no questions

Yes/no questions present two options and get you a quick, definitive answer. They’re perfect for binary situations where you need a clear signal from each team member.

The classic use case is blocker detection: “Are you blocked on anything?” If someone answers yes, you can pair it with a conditional follow-up question that asks for details. If they answer no, they skip the follow-up and move on. This keeps the check-in short for people who aren’t blocked while still capturing important information from those who are.

You can also customize the labels. Instead of “Yes” and “No,” you might use “On track” and “At risk,” or “Done” and “In progress.” This flexibility lets you adapt the format to a wide variety of scenarios without changing the underlying question type.

Multiple choice questions

Multiple choice questions give your team a set of predefined options to choose from. You can add up to 25 options per question, and every option is fully customizable.

This type shines when you want standardized responses that are easy to compare across people and over time. For example, you might ask “What’s your priority focus today?” with options like “Feature development,” “Bug fixes,” “Code review,” “Documentation,” and “Meetings.” The resulting data is clean, consistent, and ready for charts and trend analysis.

Multiple choice also reduces the effort required to answer. Instead of composing a written response, your team just picks the option that best fits. This makes check-ins faster to complete and leads to higher response rates, especially for questions you ask repeatedly.

Numeric questions

Numeric questions only accept number values. If someone enters text, the response is rejected and the question is repeated until they provide a valid number.

This type is ideal for collecting quantitative data. Confidence ratings (“On a scale of 1-10, how confident are you about hitting this sprint’s goals?”), time estimates (“How many hours did you spend on support tickets today?”), and satisfaction scores all work well as numeric questions. The data is immediately ready for averages, trend lines, and comparison charts.

Numeric questions are especially powerful for mood tracking. When you ask your team to rate their energy or satisfaction on a consistent scale, you build a dataset that reveals patterns over weeks and months. A sudden drop in average scores can signal burnout or morale issues before they become visible in other ways.

Combining question types

The most effective check-ins mix question types to balance depth with speed. A well-designed standup might look like this: start with an open-ended question about accomplishments, follow with a yes/no blocker question (with a conditional follow-up), and end with a numeric confidence rating. The whole thing takes two minutes to answer, but it gives you rich qualitative feedback alongside clean quantitative data.

When you design your check-in, think about what you want to do with the answers. If you’re going to read every response individually, open-ended questions give you the most insight. If you’re tracking trends over time, numeric and multiple choice produce the data you need. If you’re routing responses based on specific triggers, yes/no and multiple choice work best with conditional logic.

You can always edit your questions after creating a check-in. If you notice that a particular question isn’t getting useful answers, try switching the type or rephrasing it. The best check-ins evolve over time as you learn what works for your team.

Dailybot makes it simple to experiment with different question types and find the combination that gives your team the right balance of speed and depth. Start with the classic three-question standup, then adjust based on what you learn from the first week of responses.