9.4: Analyzing the Body of a Speech
Tiffany Petricini
Learning Objectives
- See what a full speech body looks like in order to identify major components of the speech body.
Learning to See Structure in Action
At this point, you’ve learned how to build the body of a speech, from shaping your main points to choosing the right structure to keeping everything flowing clearly. Now let’s flip the script and become the audience for a moment. What does a well-organized body look like when it’s actually written and delivered?
In this section, you’ll practice breaking down the body of a real speech to see how the strategies we’ve discussed play out in action. Learning to analyze a speech from the inside out helps you reverse-engineer powerful techniques and apply them to your own work.
Let’s walk through a sample speech body, one paragraph at a time, and then step back to evaluate how the speaker constructed the message.
Speech Topic: Deepfakes
Main Point 1: What Are Deepfakes?
“To help us understand deepfakes, let’s begin by examining what they actually are. The word itself is a blend of ‘deep learning’ and ‘fake,’ and it first appeared online in 2017. The underlying technology is older: in 2014, researcher Ian Goodfellow introduced generative adversarial networks, or GANs—a system in which two AI models compete, one generating synthetic images and the other trying to detect them. With each round, the fakes get better. The result is video, audio, and images of real people saying and doing things they never said or did—sometimes so convincing that even experts struggle to tell the difference. What once required a Hollywood effects studio can now be produced with a laptop and free software.”
What’s working here?
- Clear transition from intro to first main point.
- Strong definition and context for a technical topic, including where the term came from.
- Vivid comparison (“a Hollywood effects studio… a laptop and free software”) helps the audience grasp the scale of the change.
Main Point 2: The Risks of Deepfakes
“Now that we’ve covered what deepfakes are, let’s explore the risks they pose. The Federal Trade Commission has warned consumers about scammers using AI-cloned voices to impersonate family members in fake emergency calls, tricking relatives into sending money. Businesses face similar threats: fraudsters have used deepfaked video calls to impersonate executives and authorize fraudulent transfers. Beyond financial crime, deepfakes threaten public trust itself. Fabricated clips of political candidates can spread widely before fact-checkers catch up, and researchers warn of a ‘liar’s dividend’—a world where real footage can be dismissed as fake, and fake footage mistaken for real.”
What’s working here?
- Smooth transition phrase (“Now that we’ve covered…”).
- Maintains topical/categorical organization—second major category moves from definition to consequences.
- Ties evidence to real-world implications, building urgency and relevance.
Main Point 3: How We Can Respond to Deepfakes
“Let’s shift our focus from the risks of deepfakes to what we can do about them. On the technical side, researchers are developing detection tools that spot the subtle glitches synthetic media leaves behind, and companies are adopting content credentials—digital labels that travel with a photo or video to verify where it came from. On the legal side, lawmakers at the state and federal level have begun passing legislation targeting malicious deepfakes, particularly nonconsensual imagery and election-related deception. But the most powerful defense may be the one in this room: media literacy. When we pause before sharing, check the source, and look for verification, we become the last—and best—line of defense.”
What’s working here?
- A clear shift in tone and scope, announced explicitly (“Let’s shift our focus…”).
- Continues the topical pattern by covering a third category: solutions.
- Ends by making the topic audience-relevant—listeners are given a role to play.
Try It: Generating Supporting Points
What Can We Learn from This Speech?
Let’s break down the structure using the five principles of effective main points:
|
Principle |
All points relate back to the specific purpose: understanding deepfakes and their impact. |
|---|---|
|
Unity |
Each point covers a distinct domain: what deepfakes are, the risks they pose, and how we can respond. |
|
Separation |
Each point is roughly equal in development—none feels rushed or overloaded. |
|
Balance |
Each point is roughly equal in development—none feel rushed or overstuffed. |
|
Parallelism |
Each point is introduced clearly and consistently: “Let’s begin…,” “Now that we’ve covered…,” “Let’s shift our focus…” |
|
Logical Flow |
The order progresses from definition → risks → responses—a natural arc from understanding to action. |
What Organizational Pattern Is This?
Topical/Categorical.
The speaker divided a complex subject into three clear categories of explanation, helping the audience move from unfamiliar technology to real-world impact. Notice, too, that the second and third points echo a problem (solution logic) a good reminder that skilled speakers often blend patterns rather than following one rigidly.
Speeches that stick with us do more than just share information. They guide us through an experience. When the body of a speech is well-organized, it creates clarity, builds trust, and keeps listeners engaged from beginning to end. As you start building your own speeches, take a moment to step back and ask:
- Do my main points follow a clear structure?
- Can I mark where each point begins and ends?
- Would someone listening for the first time be able to follow along?
Practicing this kind of analysis will help you level up your own public speaking—and move your message far beyond the podium.
