LCN : Learning Curve Network (2024)

02 Jun How to Handle Questions when Presenting

Posted at 09:00hin Presentation TipsbyGill

You’ve done everything within your control to prepare for that presentation. You’ve:

  • considered the audience – who they are, what they know and what they want
  • ‘begun with the end in mind’ and know what you want the audience to do as a result of attending your presentation
  • practised and practised so that you know what you’re going to say and how you’re going to say it
  • developed your visual materials to enhance your presentation.

The one thing that isn’t within your control is how the audience will react! What if they ask too many questions and you run out of time; even worse, what if they ask questions you can’t answer?!

How do you feel when this happens? How does it affect your delivery of the content? Although you can’t control this aspect of your presentation, you can prepare for it so that when you’re asked a question you can respond in a confident and professional way.

So, in this blog I’m going to address what you can do to ‘expect the unexpected’ so that you are unruffled, maintain your professionalism and respond to questions well.

Preparing for Questions

For me, the starting point to answering questions well is to prepare for them. I start by asking myself “What would I hate to be asked?” and “What are the 3 worst questions that I could be asked during this presentation?”.

I sometimes ask my colleagues for their ideas too. Thinking this through beforehand allows me to consider the answers in advance and prepare for them so that when the question is asked, I think “Great; I know the answer to that one” so am able to respond confidently and effectively.

So, that’s what I do beforehand, but what about during the presentation?

Responding to Questions

Firstly, I now have the mindset that questions during a presentation are a positive sign and shows that the audience is interested in my topic. Having this view allows me to welcome questions rather than avoid them.

Secondly, I say, during the introduction, when I would like to take questions. Depending on the presentation, I can either choose to take them throughout or ask people to hold them until the end. There are pros and cons of both:

Taking questions throughout allows the audience to have their burning questions answered immediately so that they can concentrate on the rest of your presentation but it could mean that you may be taken off course or diverted down a path that you were planning to cover later.

Taking questions at the end allows you to deliver your presentation as planned but means that your audience may have questions earlier in the presentation that stop them from listening to what else you’re saying.

So, having made the decision about when you’ll take questions, someone asks you one! The mnemonic DRAT gives you a helpful strategy for handling questions confidently.

Decide first if you’re going to answer the question now, later or not at all. It may be that the question will be answered later in the presentation so you may decide not to answer it now. If you’re not going to answer the question, either now or later, let the audience know why this is the case; for example, “It is outside the scope of this presentation so I won’t be covering it today”.

Rephrase/Repeat the questions – there are two reasons for doing this. Often, we start to mentally answer the question before the questioner has finished asking it. This means that we could respond with an answer that doesn’t fit the question. Repeating the question lets you check that you have heard it correctly. The other reason for repeating it is that other people in the audience may not have heard the question and then spend time asking their neighbour “what was the question?” so they hear neither the question nor the answer!

Answer the question succinctly. For me, succinctly is the important part here as the question may be relevant only to the person asking, not the whole audience, so if you spend too long answering a question that others aren’t interested in, you may lose your audience.

What if you’re asked a question that you don’t know the answer to?

Again, you have a number of choices. You can:

  1. Say that you don’t know but you’ll find out and get back to them (make sure you do as there’s nothing worse than a presenter saying that they will find out and then the audience never hears from them again!)
  2. Admit that you don’t know and then ask what other people think
  3. Ask the audience for their opinion straight away by saying “What do you think?” or “Who knows the answer to this one?”
  4. Offer to answer the question offline if you think that the answer is unlikely to be of interest or relevance to the rest of the audience.

You need to decide, in the moment, the best approach for that situation but it’s important to recognise that you don’t have to have all the answers; use your audience to support you when this happens.

Thank the questioner. I say this because it takes courage for someone to ask a question in a group, particularly as they may be afraid that the question’s been answered. Also, it may be that other people have the same question so, when someone else asks it, they may be relieved that the question has been asked by someone else.

Using DRAT has really helped me over the years by preparing for questions beforehand and having a positive mindset about them. Look at questions as an opportunity to show your expertise and demonstrate your credibility.

How do you feel about being asked questions? Do you welcome them or do you run from them?

Check out our other blogs on presenting:

  • Bringing your presentation content to life – a four step recipe
  • Handling Presentation Horrors

Next month’s blog is on the importance of casting a Leadership Shadow.

Posted by Caroline Lewis

LCN : Learning Curve Network (2024)

FAQs

How to solve learning curve theory? ›

Learning curves are also known as experience, cost, efficiency, or productivity curves. They are often used in production planning, projection of costs, and scheduling deliveries. There are two ways to solve learning curve problems. The learning curve formula can be used: Y = a X b , (also seen as Y = aX^b).

What does a 90% learning curve mean? ›

Most often, the percentage given is the amount of time it will take to perform double the amount of repetitions. In the example of a 90% learning curve, this means there is a corresponding 10% improvement every time the number of repetitions doubles.

What is the formula for the learning curve factor? ›

The formula for the learning curve is:y = axb, y = axb, where y is the cumulative average time per unit of production, a is the time taken to produce the first unit, x is the cumulative number of units manufactured to date, and b is the learning coefficient.

What are the limitations of a learning curve? ›

Limitations of Learning Curves

Sometimes, however, a specific learning curve doesn't apply, especially if any of the following are true: Production is irregular. Production quantities are small. Products are highly customized.

How do you beat the learning curve? ›

Here are five of the most effective.
  1. Practice Intentionally. It should come as no surprise that you have to put your reps in to get good at anything. ...
  2. Keep Track of Your Progress. If you want to learn a skill faster, you need to find a way to track it. ...
  3. Get Feedback. ...
  4. Take Notes — And Study! ...
  5. Teach What You've Learned.
Sep 2, 2022

What does a 100% learning curve mean? ›

The 80 or 90 percent learning percentage in the above examples is the “slope” of the learning curve. Note that a 100 percent curve would imply no decrease in unit time at all (i.e., no learning).

Is a higher learning curve better? ›

If one plots amount learned vs. time, then a steep (or short) learning curve is a good thing, because it indicates that a large amount of learning is taking place in a short period of time. In contrast, a shallow (or long) learning curve indicates that a long period of time is required to learn the needed information.

What is the steepest learning curve? ›

What is steep learning curve? A steep learning curve is an expression that is often used in colloquial speech to describe the initial difficulty of learning something that is considered to be very challenging. The implication is that learning will be slow and arduous.

What is the learning curve rule? ›

Learning Curve Theory is based on the concept that the more an individual repeats a process or activity, the more adept they become at that activity. This translates to lower input costs and higher overall output.

Which formula describes the learning curve? ›

The learning curve phenomenon is represented by the formula Y = aXb. Y is the average time over a measured duration.

What is k in learning curve? ›

Basic Learning Curve Equation. Y=Cumulative average cost of X units. K=Cost of unit #1. X=Number of units produced. N=Learning Exponent.

What is a learning curve in simple words? ›

A learning curve is a process where people develop a skill by learning from their mistakes. A steep learning curve involves learning very quickly. Both he and the crew are on a steep learning curve.

What is a high learning curve? ›

In a learning curve, the rate of progression is measured against time. If the curve was steep, as in the Blue graph, it would show that the learner is making rapid progression over a short period of time. This means that the learner is mastering the skill or task quickly.

Who invented learning curve theory? ›

Hermann Ebbinghaus described this theory in 1885. Ebbinghaus tested his memory over various periods and came up with a visual representation of how learned information fades over time. The Ebbinghaus Forgetting Curve demonstrates how information is lost over time when there is no effort made to retain it.

How do you overcome learning curve? ›

Here's how to manage the learning curve that may come with a new work environment:
  1. Find support. ...
  2. Ask questions. ...
  3. Look for examples. ...
  4. Request feedback. ...
  5. Try new approaches. ...
  6. Create goals for success. ...
  7. Be open to communication. ...
  8. Pay attention to meetings.

What is an example of a learning curve theory? ›

An example of where a learning curve can be applied could be a measurable task like a factory worker learning to operate a new machine that requires specific, repeatable steps. As the worker learns to operate the machine following the procedural steps, he becomes faster and more proficient at using it.

How do you calculate 80% learning curve? ›

An 80 percent learning curve means that the cumulative average time (and cost) will decrease by 20 percent each time output doubles. In other words, the new cumulative average for the doubled quantity will be 80% of the previous cumulative average before output is doubled.

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