Science Fair Judge Questions
Explain your question, variables, controls and results, and admit your project's limits.
Try it free →Practice mode · Domain Expert
Explain technical concepts simply: practice out loud with an AI questioner
Start with why it matters to the listener, use one plain-language analogy, give a concrete example, and check what they understood before you add detail; cut the jargon or define it in a sentence. Then expect the questions a skeptic, an executive or a beginner would really ask, about cost, risk and evidence. Practice explaining your own topic to an AI questioner who plays a non-technical executive, a skeptic, a beginner, a client or a peer.
No signup: 4 free rounds now (a round is one back-and-forth). A free account gives you 7. Then $4.99 for 100 rounds, one time. No subscription.
Updated October 2026
Who it's for
Who this practice is for
- You have to explain your work to people who don't share your background.
- You know your topic but freeze when someone asks why it matters.
- You want to get better at analogies, not just facts.
- You want honest feedback before a real presentation or client call.
What happens
How a session goes
- Pick who the AI plays: Non-Technical Executive, Intelligent Skeptic, Curious Beginner, Prospective Client, or Peer Professional.
- Choose a questioning style: Probing & Analytical, Tough & Demanding, or Curious & Collaborative.
- Answer out loud or type. The AI probes weak points, asks follow-ups, and pushes on cost, evidence, or clarity.
Real lines from a test session
What the AI said in a test session
“Alright, I'll buy that real-time tracking sounds good in theory. … So how does knowing exactly where my truck is on the map actually prevent a single minute of detention?”
“That's an interesting theory about triggering a supervisor investigation with a provable fact. … What's stopping that supervisor from just saying "procedures are procedures, your driver waits in line like everyone else" and stonewalling you?”
“You make a fair point about blacklisting problem facilities. That's actually the most concrete argument I've heard yet. So let me tell you where I land.”
From a test session of this practice in the app, lightly trimmed. Your session goes its own way: the character reacts to what you say.
The scorecard
What the scorecard looked like in a test run
Test run
7/ 10
Strong escalation logic but ROI claim needed sharper proof
Scorecard from one test session
Top priority: Value & Persuasion You landed the strategic intelligence idea but did not back the real-time prevention ROI with a concrete number or a simple before/after comparison, so the skeptic still judged that claim oversold.
A line from the test answers
“Honestly, it’s hit or miss—maybe I'd say it works more often than you'd think, but I can't give you a solid percentage.”
You honestly admitted uncertainty, but the skeptic used that to argue the prevention claim was weak and the ROI thin.
Try instead: “In our fleet, escalation gets the driver unloaded within 30 minutes about % of the time—not perfect, but that alone saves per occurrence.”
What went well: You built a layered argument from proactive scheduling to escalation to receiver profiling, and your final turn about blacklisting problem facilities shifted the skeptic's view.
Real scorecard output from one of our test runs. In test runs the practice answers are written by a test script, not by a customer.
What good looks like
What a strong answer does here
- Clarity: your answer lands in one pass, no circling back to fix confusion.
- Domain Mastery: you handle edge cases and specifics without dodging.
- Analogy & Simplification: you turn jargon into a picture they can repeat.
- Value & Persuasion: they see why it matters and what it costs.
Scored on:
- Clarity
- Domain Mastery
- Analogy & Simplification
- Value & Persuasion
Common mistakes
Weak lines, and what to say instead
Weak: “Our platform leverages synergistic paradigms to optimize throughput.”
Better: “Our tool cuts the time drivers wait at loading docks by predicting delays before they happen.”
Buzzwords hide the point; a concrete outcome shows you understand it.
Weak: “It's complicated. You wouldn't get it without the technical background.”
Better: “Think of it like a traffic app for trucks: it sees a jam forming and reroutes before the driver is stuck.”
Refusing to simplify tells the listener you can't explain your own work.
Weak: “I don't know. That's just how the system works.”
Better: “I don't have that number right now, but I can walk you through how we'd find it.”
Admitting a gap and offering a path beats a dead end.
Weak: “Everyone knows this is the best approach. It's obvious.”
Better: “Here's the evidence: two pilot sites cut detention by a third in the first month.”
Claims need proof; specifics make your case believable.
Ready-made scenarios
Scenarios in Domain Expert
Domain Expert: set the scene in a few seconds, or pick a ready-made scenario.
Try it free, no signupMake this useful for your next conversation
Your domain expert practice plan
- Adapt the explanation to your audience
- Use an accurate example or analogy
- Check understanding and answer objections
Start with a free worksheet, then test your own response with a voice or text roleplay. Your first complete coaching report is free once across all areas. Create a free account to save your goal, actual words, and downloadable notes.
Need repeated practice? $4.99 once buys 100 rounds across every mode and full coaching on every report. Rounds never expire; no subscription is required.
FAQ
Questions about Explaining Hard Topics
What kinds of topics can I practice explaining?
Any topic where you're the expert. The mode is built for things like explaining Apex to a Salesforce team, defending the cosmological argument, or walking a patient through a procedure. You pick the topic and the AI questioner adapts to the role you chose. Try it free →
Who is the AI playing?
You choose. It can be a Non-Technical Executive who wants ROI and risk, an Intelligent Skeptic who challenges assumptions, a Curious Beginner who needs plain English, a Prospective Client focused on outcomes, or a Peer Professional probing edge cases. Try it free →
How does the session end?
The questioner wraps up in character by saying what they now understand, what still worries them, and their decision, such as approving a project or wanting more evidence. That last answer tells you whether your explanation actually landed with that kind of listener. Try it free →
Try Domain Expert free
4 free rounds now, no signup. 7 with a free account. Then $4.99 for 100 rounds, one time, with no subscription. Plans are there if you practice every day.
Try it free, no signupBuilt by Matthew, a solo founder. Questions? Email support@getadversaryai.com, I read every message.