Week 2 — Speech Workshop / Rehearsal Studio · "Analyze + Adapt + Record"
Course: Public Speaking — Fundamentals of Oral Communication (COMM 1) · Silver Oak University (fictional sample) · Prof. Marchetti
Objective: Objective 2 — conduct audience analysis; adapt a message to a specific audience; practice delivery for a defined audience · SLO A (deliver an adapted message) & SLO B (analyze a speaking context)
Worth 50 points · Speech Workshops group = 15% of the grade · Workshop 2
Format this week: audience-analysis + self-record delivery drill — pick a topic, analyze two audiences, write one adaptation, record a 60–90-sec version for one audience, and self-assess the adaptation.
The course's signature weekly component. Every instructional week has one Speech Workshop. This week's drill applies the audience-analysis framework directly to a short recording: you plan the adaptation in writing, deliver it, then assess whether your actual choices matched your analysis.
Part 1 — The Big Picture
Last week you recorded for the first time. This week you record with a reason: an audience you've thought about. The gap between "I made a speech" and "I made a speech for these specific people" is where audience-centered speaking lives.
The skill this week is adaptation — the translation step that turns an analysis finding into an actual choice in the speech: a simpler word, a different example, a different opening frame. Analysis is useless without it. And the only way to practice adaptation is to make a specific decision, record it, and ask: did I actually do what I planned?
The guiding question: When I watch my recording, can I point to at least one specific moment where my adaptation choice shows up — a word I chose, an example I used, an opening I crafted — because of what I knew about the audience?
Part 2 — The Drill: Audience-Analysis Table + Adaptation Plan
Step 1. Choose a topic you can talk about for 60–90 seconds without research. Something you know: a skill, a habit, a recommendation, a campus opinion, a how-to.
Step 2. Describe two different audiences for that same topic. Be specific:
| Audience A | Audience B | |
|---|---|---|
| Who are they? (demographic) | ||
| What might they already know / believe about this topic? (psychographic) | ||
| What's the setting? (situational) |
Examples of audience pairs: (a) first-year students in a required class vs. experienced upperclassmen who chose to attend; (b) a skeptical audience who disagrees with your position vs. a friendly audience who already agrees; (c) a technical audience in the field vs. a general public audience.
Step 3. For Audience A, write your adaptation plan in the table below:
| Analysis category | Finding | Adaptation (what I will actually do or say) |
|---|---|---|
| Demographic | ||
| Psychographic | ||
| Situational |
Step 4. Write 2–3 keywords for your opening sentence — specifically designed for Audience A. The opening is where adaptation shows up most clearly.
Part 3 — Record a 60–90-Second Version for Audience A
Take your adaptation plan and your keyword list, and record yourself.
- Jot 3–5 keywords (not sentences) as your path through the 60–90 seconds.
- Record yourself on a phone camera or Zoom, speaking to Audience A.
- Watch it through once before scoring. Don't re-record yet.
The goal isn't a polished clip — it's a clip where you made at least one real adaptation choice based on your analysis. Even if the delivery is rough, a recording where you can point to "I chose this word because of my psychographic finding" is a full-marks clip.
Part 4 — Self-Assessment Scaffold
After watching your recording, fill this in honestly:
Adaptation check (the most important question this week):
| Adaptation I planned | Did it show up in the clip? | How — or why not? |
|---|---|---|
| Demographic adaptation: | Yes / Partly / No | |
| Psychographic adaptation: | Yes / Partly / No | |
| Situational adaptation: | Yes / Partly / No |
Opening sentence check: write out what you actually said as your opening line. Compare it to your planned keyword(s). Did your opening reflect the audience you had in mind?
Basic delivery self-check:
| What to watch | Score (1–5) | What I noticed |
|---|---|---|
| One clear idea — or did it wander? | ___ | |
| Pace — too fast, too slow, or about right? | ___ | |
| Eye contact — at the lens, or looking down? | ___ | |
| Energy/voice — audible and alive, or flat? | ___ |
Your ONE thing: what was the single most useful change you'd make if you recorded again for Audience A?
"Next time I will ______."
Part 5 — Analysis Questions
Answer in 1–3 sentences each:
- Which of your three adaptation categories (demographic, psychographic, situational) most changed what you actually said, and how?
- Compare what you would have said without any audience analysis to what you said with it. Name one specific difference.
- Now imagine delivering the same content to Audience B instead. What would you change first — and would it change the opening, the examples, the vocabulary, or something else?
- Did the recording reveal any moment where you forgot your audience and defaulted to a generic version? What happened, and what would fix it?
Part 6 — Rehearsal-Coach Moment (BYOAI)
Bring in your approved chatbot (Gemini, Claude, or ChatGPT) as a rehearsal coach focused on audience adaptation.
- Paste your adaptation plan table and a one-line description of your recording (e.g., "I recorded a 75-second version aimed at first-year students unfamiliar with the topic; I opened by asking a question about their experience").
- Ask: "I'm working on adapting a speech for a specific audience. Here's my analysis and what I recorded — give me specific, actionable feedback on whether my adaptations are strong and what I'd improve for a second take."
- Try the most concrete suggestion in a second take, if you have time.
Part 7 — AI-Critique Moment (required — the BYOAI judgment step)
This week's AI-critique is about a specific failure mode: demographic stereotyping disguised as analysis.
- After you get the chatbot's adaptation feedback, look hard at it. Does it make any statements like:
- "College students will all find this relatable because they use social media."
- "Your audience is STEM majors, so they won't respond well to personal stories."
- "Since they're young, you can use casual language and humor."
These are demographic assumptions — they treat an age bracket or a major as a uniform personality. Genuine audience analysis is more specific, more tentative, and more curious.
-
If you found a stereotype, write 2–3 sentences: (a) the specific statement the chatbot made, (b) why it is a demographic overgeneralization rather than genuine analysis, and (c) what a more careful, audience-analysis-based version of that advice would look like.
-
If the chatbot was actually careful (it phrased things tentatively, asked clarifying questions, or acknowledged diversity within the demographic), note that too — that's what good analysis coaching looks like.
The habit: make the tool be specific and acknowledge uncertainty. A chatbot that says "young people all like X" is giving you the same lazy shortcut that will make a speech miss the room. Push it toward curiosity, not clichés.
Part 8 — What to Submit
Submit a single document (or text entry) with:
- Your completed audience-analysis table (Part 2, Steps 2–3) and your planned opening keywords
- Your self-assessment scaffold (Part 4), including the adaptation check
- Your Part 5 analysis questions
- Your Part 7 AI-critique paragraph
- Your recording (upload or link) — the clip is what makes the self-assessment verifiable
Due Sunday, Sep 13, 11:59 p.m. (50 points).
Instructor answer key & model responses — REMOVE BEFORE PUBLISHING TO STUDENTS
Students record their own topics and audiences, so there is no single correct answer. The key grades the quality of the analysis (specificity and audience-centeredness), the adaptation check (did it show up in the clip?), and the AI-critique (did they catch or correctly evaluate a demographic overgeneralization?). A polished clip with no genuine adaptation is worth less than a rough clip with a clearly audience-adapted opening.
Model audience-analysis table (illustrative — topic: "benefits of a daily 10-minute walk"):
Audience A: First-semester students in a required college success seminar (~25 students; 8 a.m. Wednesday; captive)
Audience B: Participants in a voluntary Saturday wellness workshop (~15 adults, mixed ages; chose to attend)
| Analysis category | Finding (Audience A) | Adaptation |
|---|---|---|
| Demographic | First-year college students, likely experiencing first extended periods of academic stress; unfamiliar with campus walking routes | Frame the 10-minute walk as a stress-break tool; mention specific campus paths |
| Psychographic | Attitude likely skeptical-to-indifferent — "that's too simple to matter"; value: efficiency and results in minimal time | Lead with the surprising science-supported result (energy boost, focus improvement) before the how-to; use "10 minutes" as the hook — the brevity is the selling point |
| Situational | 8 a.m., required class, captive audience; likely tired | Open with a high-energy question, not a calm recommendation; ask how many got 7+ hours of sleep (almost no hands) — that's the relatable hook |
Model opening for Audience A: "Quick question before we start: how many of you got 7+ hours last night? [pause] Right. I want to show you a 10-minute thing that might actually help with that — and you can do it between your classes today."
Why the model earns full marks: each category has a specific finding AND a concrete, logically connected adaptation; the opening is visibly shaped by the psychographic and situational findings; the model could point to specific moments where adaptation shows up.
Model AI-critique (illustrative): "When I asked the chatbot for adaptation advice for first-year college students, it said 'College students love social media references and memes, so include those for relatability.' That's a demographic stereotype — not all 18-year-olds are on the same platforms, and the advice would backfire for students who find it patronizing. A more careful version would be: 'Consider whether your specific audience has experience with this topic; if they don't, use an analogy to something familiar from campus life rather than assuming a pop-culture reference will land.'"
Expected answers:
- Part 5, Q1: any honest identification of which category drove the most change — full credit for specific example. (Psychographic usually drives the most change because it reveals what the audience already believes.)
- Part 5, Q2: full credit for naming a specific difference, not just "I changed my examples" (which example? why?).
- Part 5, Q3: full credit for identifying a concrete change — vocabulary, examples, opening frame, or level of assumed knowledge.
- Part 5, Q4: full credit for honestly identifying a generic moment (e.g., "I said 'many studies show' without connecting it to what this audience cares about") and naming the fix.
Grading rubric — 50 points
| Criterion | Full | Partial | None |
|---|---|---|---|
| Audience-analysis table completed (Part 2) — at least two findings per category, each paired with a concrete adaptation; a planned opening that reflects the analysis (15) | 15 | 8–12 | 0–6 |
| Self-assessment quality (Parts 3–5) — adaptation check honestly completed, specific identification of where adaptation showed or didn't; analysis questions specific and reflective (15) | 15 | 8–12 | 0–6 |
| Rehearsal-coach engagement (Part 6) — actually used the coach and tried a concrete suggestion (10) | 10 | 5–8 | 0–4 |
| AI-critique (Part 7) — correctly identifies a demographic stereotype in the chatbot's advice (or correctly notes that it was careful) AND explains what thoughtful adaptation advice looks like instead (10) | 10 | 5–8 | 0–4 |
Quality gate (self-checked): the four rubric criteria sum to exactly 50 (15 + 15 + 10 + 10 = 50). ✅
This workshop asserts no external quotations or statistics — the audience-analysis framework (demographic, psychographic, situational) is standard public-speaking course vocabulary treated factually, and the model profile is explicitly illustrative. No cited sources appear in this workshop, so there is nothing to fabricate or misattribute. The AI-critique targets demographic stereotyping rather than fabricated citations (the fabricated-citation risk is addressed in Week 4 on research). Rubric + citation-integrity gate PASS.
~ Prof. Marchetti's edition · Fall 2026 · built with thecoursemaker.com