Questions are fundamental to effective communication, guiding conversations, uncovering truths, and fostering authentic connections.
In sales, the style and type of question a prospect chooses can significantly shift the response you need to give and the direction of the conversation. By understanding the various questioning styles, you (and now AI) can tailor your interactions to achieve specific objectives, whether in early qualifying conversations or end-of-sales-cycle chats where you are trying to close in on a purchasing decision.
So, lets talk about the different types of questions and provide examples of how a simple question, like “Do you want to go to lunch?”, can be transformed into various formats.
1. Closed (Yes/No) Questions
Definition: Closed questions, also known as polar or yes/no questions, can be answered with a simple “yes” or “no.” They are direct and often used to confirm or deny information. If hostile, they can also be used to box you into an oversimplified answer so beware!
Example:
So, these questions are useful for obtaining quick answers but do not encourage further debate.
2. Open-Ended Questions
Definition: Open-ended questions invite more detailed responses (especially compared to yes/no questions), allowing the respondent to express thoughts, feelings, or experiences. These questions typically begin with “what,” “how,” or “why.” However, watch out for someone asking an open ended question in order to let you unearth a view counter to the current direction of the organization.
Example:
3. Recall and Process Questions
Definition: This type of question requires the respondent to remember past experiences, while process questions ask them to reflect and add their own opinions. These are often used to assess knowledge or understanding and you have probably been asked one of these “Tell me a time when…” questions in an interview process.
Example:
These questions prompt reflection and can lead to more thoughtful responses because they anchor on lived experience.
4. Leading Questions
Definition: Leading questions “subtly” guide the respondent toward a particular answer, often assuming something in the phrasing. Sometimes people will call this telegraphing.
Example:
These questions can be useful for persuasion but should be used carefully to avoid manipulation.
5. Rhetorical Questions
Definition: Rhetorical questions are asked to make a point rather than to elicit an actual response. They often express a known fact or emphasize an idea.
Example:
Rhetorical questions are effective for emphasizing points and engaging listeners without expecting a direct answer but can sometimes create a follower culture if the power dynamics don’t allow anyone to respond or challenge to the prompt.
6. Clarifying Questions
Definition: Clarifying questions seek to ensure that the respondent fully understands the question or to get more detailed information about something previously mentioned.
Example:
Clarifying questions help avoid misunderstandings and ensure clear communication but can sometimes appear like you weren’t listening so make sure to engage fully when asking these types of questions.
7. Probing Questions
Definition: Probing questions go deeper into a topic, often following up on a previous answer or as a reaction to a presentation, etc in a meeting. They are used to gain more detailed information or to encourage critical thinking about a specific thing or moment.
Example:
Probing questions are valuable in discussions requiring depth and insight when someone is trying to understand something more deeply than other topics or themes.
8. Hypothetical Questions
Definition: Hypothetical questions pose a scenario to the respondent, asking them to consider what they would do or how they would feel in a particular situation. Different than a recall and process question, this type doesn’t require previous experience in the topic.
Example:
Hypothetical questions inspire imagination and creative responses.
9. Loaded Questions
Definition: Loaded questions contain an assumption that may trap the respondent into admitting something, often used to challenge or confront. While similar to telegraphing or leading questions these questions often have a broader scope or could attempt to influence on multiple points.
Example:
Loaded questions should be used cautiously as they can be perceived as manipulative as hinted at earlier with other similar question types.
10. Funnel Questions
Definition: Funnel questions begin broad and gradually narrow down to more specific points, or vice versa, often used to guide a conversation when there is an “If” “Then” set of tradeoffs or there are dependencies you have to understand at a high level before asking more specific or follow-on questions.
Example:
Funnel questions are excellent for leading someone from a broad to a more focused response.
11. Divergent Questions
Definition: Divergent questions explore various possibilities and encourage creative thinking without seeking a specific answer. These questions, similar to open-ended questions, are exploratory but are likely to have slightly more defined constraints such as the number of types or a subset of the most broad answer you could have about a topic or theme. In the below example it’s the “never tried before” constraint that helps bring clarity to this type of question’s goal.
Example:
These questions are ideal for fostering innovation and exploring multiple perspectives but you do make tradeoffs with any limiting constraint on the true potential of creativity. .
12. Evaluation Questions
Definition: Evaluation questions assess the value or impact of a decision, action, or situation, often used for feedback. While there are clearly elements of this question that feel like a recall and process format, you’ll likely find these questions less broad and more anecdotal than the full review you get with previous question types.
Example:
Evaluation questions are useful for reflecting on past experiences to improve future decisions but can be very tactical in nature.
13. Scaling Questions
Definition: Scaling questions ask the respondent to rate something on a specific scale, helping to understand the intensity of their feelings or opinions in a mutually defined way.
Example:
Scaling questions are particularly useful in situations requiring a quantifiable response.
So, why is this an opportunity for AI?!?
While humans have an intrinsic understanding of nuance, emotion, and context, they also bring biases that can influence how they interpret and respond to questions. These biases can affect the effectiveness of their communication, especially in sales, where the goal is to align with the prospect’s needs and desires rather than the salesperson’s preferences or assumptions.
AI, on the other hand, offers a powerful alternative by identifying question types objectively and responding in a way that is tailored to the prospect’s expectations. This objectivity positions AI as the ultimate salesperson—capable of delivering precise, unbiased responses that resonate with the prospect’s true concerns and motivations.
Let’s explore how AI can outperform in certain circumstances a human salesperson by responding to three types of questions about the same product or service.
Example Product: A Cloud-Based Project Management Tool
Open-Ended Question Example
Question: “What can this project management tool do for my team?”
Human Response:
AI Response:
So what? The AI’s response is tailored to the prospect’s needs rather than the salesperson’s experience. It objectively highlights features and benefits relevant to team productivity and efficiency, addressing what the prospect is likely interested in.
Leading Question Example
Question: “Don’t you think this tool could improve our project delivery times?”
Human Response:
AI Response:
So What? The AI offers a data-driven response, backing up the assertion with statistics and offering additional information tailored to the prospect’s specific situation. This enhances credibility and encourages further engagement.
Evaluation Question Example
Question: “How does this tool compare to other project management solutions on the market?”
Human Response:
AI Response:
So What? The AI provides a balanced, evidence-based comparison, offering specifics and measurable data. It objectively evaluates the tool against competitors without the bias that a human salesperson might have due to personal preference or experience.
In these examples, the AI’s responses are more aligned with the prospect’s needs, providing relevant, data-driven information that addresses specific concerns. Unlike humans, who may be swayed by personal biases or a desire to steer the conversation towards a one-sided outcome, AI responds based on an objective understanding of the question type and the context of the inquiry. This allows AI to deliver responses that are not only accurate but also tailored to resonate with the prospect’s expectations.
Do relationships matter? Of course. Can humans outperform AI in complex or emerging situations? You bet.
Will AI, at scale and 24/7, answer more effectively than humans? We think so. Want to see? Give us a shout.