Pitch A Data Backed Innovation
Use evidence and design criteria to pitch a data-backed innovation.
- Criteria and constraints: Design work needs success targets and limits before testing.
- Evidence-based iteration: Changes should trace to data, feedback, or a failed criterion.
Prerequisites are inferred: pending teacher review.
Re-learn the skill with worked practice and clear examples.
Match the pitch to what the audience most wants to hear.
| Audience | What they most want to hear |
|---|---|
| Investor | Cost and how many people would buy it |
| Doctor | Test results and patient safety data |
| Patient | How it helps them in daily life |
You are pitching the pill-bottle alarm to a DOCTOR. Using the table, which message fits this audience best?
Reviewed| Audience | What they most want to hear |
|---|---|
| Investor | Cost and how many people would buy it |
| Doctor | Test results and patient safety data |
| Patient | How it helps them in daily life |
- A.'In a 30-patient trial it cut missed doses in half with no safety problems'
- B.'It will make us a lot of money'
- C.'The case comes in five fun colors'
- D.'Everyone on social media is talking about it'
Show the worked solution ▾
Answer: A. 'In a 30-patient trial it cut missed doses in half with no safety problems'
- Step 1: Find the audience row: The table says a doctor most wants test results and patient safety data.
- Step 2: Match the message: Only the trial-and-safety message fits what a doctor wants to hear.
Why it's right: A doctor most wants test results and safety data, which the 30-patient trial message provides.
- B: Profit talk fits an investor, not a doctor.
- C: Color choices do not address a doctor's concerns.
- D: Social-media buzz is hype, not patient data.
Aligned to Biotechnology Research and Experiments · reading level ~grade 9
- A student tailors the same innovation's pitch differently for a doctor and an investor.
Fill these in as you work through the lesson.
- Data-backed claim (supported by measured results):
- Overclaim (says more than the data shows):
- Audience (who you are pitching to):
- Evidence (the numbers behind the claim):
A strong pitch backs the claim with , fits the , and never beyond what the data shows.
- Which line has measured data?
- What does this audience most want to hear?
- Does the claim go beyond the data?
From '20 trials under 10 s', write the one claim it supports and name one overclaim to avoid.
