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How to Explain Technical Concepts to Non-Technical People

7 minutesNovember 8, 2025
How to Explain Technical Concepts to Non-Technical People

The Explanation That Lost Everyone

You're explaining your project to stakeholders.

You know this inside and out. It makes perfect sense to you.

What you say: "We're refactoring the microservices architecture to implement event-driven patterns with a message queue for asynchronous processing, which will reduce coupling and improve scalability when we hit peak load..."

What they see: [Blank stares]

What they're thinking: "I have no idea what any of that means."

The problem: You explained it for someone who already understands. They don't.

The result:

  • They don't approve your project
  • They make bad decisions because they don't understand
  • You get frustrated explaining things over and over

There's a better way to explain technical concepts. Here's how.

Why Technical Explanations Fail

You Use Jargon Without Defining It

Your explanation: "We need to implement OAuth 2.0 with JWT tokens for the SSO integration"

What they hear: "We need to implement [?] with [?] tokens for the [?] integration"

They don't know what those acronyms mean. So they understand nothing.

You Explain HOW Before WHY

You: "We're going to use a Redis cache layer to store session data..."

Them (thinking): "Why do we need that? What problem does this solve?"

People can't follow HOW if they don't understand WHY first.

You Go Too Deep Too Fast

You: "So the client makes an HTTP request to the API gateway, which authenticates via OAuth, routes to the appropriate microservice, which queries the database with an indexed lookup, serializes the response to JSON..."

Them: [Lost after the first sentence]

You gave them the entire technical flow. They needed the 10,000-foot view.

You Assume They Care About Technical Details

Most non-technical people don't care:

  • What programming language you use
  • How your database is structured
  • Which framework or library you chose

They care:

  • Will this work?
  • How long will it take?
  • What will it cost?
  • What can go wrong?

Focus on THEIR concerns, not YOUR technical interests.

The Framework for Clear Technical Explanations

The 3-Layer Explanation

Start high-level, go deeper only if they ask:

Layer 1: The Outcome (What they'll see) "Users will be able to log in once and access all our tools without re-entering passwords."

Layer 2: The Simple How (One sentence) "We're connecting our login system to the main company authentication system."

Layer 3: The Technical Details (Only if they ask) "We're implementing OAuth 2.0 with JWT tokens for SSO integration across services."

Most people only need Layer 1. Some need Layer 2. Few need Layer 3.

Start With Why, Then What, Then How

Wrong order: "We're implementing a caching layer using Redis with a TTL of 3600 seconds that will store frequently accessed data in memory to reduce database load."

Right order:

  1. WHY: "The app is slow when many people use it at once."
  2. WHAT: "We're adding a system to remember common information so we don't have to look it up every time."
  3. HOW: "We use a cache that stores data temporarily in fast memory."

This builds understanding step by step.

How to Simplify Without Dumbing Down

Use Analogies

Bad explanation: "The API is a RESTful interface that accepts HTTP requests and returns JSON responses."

Good analogy: "The API is like a waiter at a restaurant. You tell the waiter what you want, they go to the kitchen (our system) to get it, and bring back your order."

Why this works:

  • Maps to something they already understand
  • Shows the relationship and flow
  • Not condescending

Real Examples of Technical → Simple

TECHNICAL SIMPLIFIED
"Database schema migration" "Reorganizing how we store information"
"Load balancer" "A traffic director that sends requests to the least busy server"
"Refactoring" "Rewriting code to make it easier to maintain without changing what it does"
"Memory leak" "A bug where the program gradually uses more and more computer memory until it crashes"
"CI/CD pipeline" "Automated tests that run every time we make a change to catch problems early"
"DNS" "The phone book of the internet—it converts website names to addresses"

Use Visual Metaphors

Instead of: "The client sends a request to the server, which processes it and returns a response."

Try: "It works like sending a letter: you write your request, mail it to the server, and they send back a reply with what you asked for."

Or draw it: [User] → sends request → [Server] → sends data back → [User]

Visual flow is easier to follow than verbal description.

Real Examples: Technical vs Clear

Scenario: Explaining Why Project Is Delayed

❌ TECHNICAL (They Won't Understand)

"We encountered unforeseen technical debt in the legacy codebase where the previous implementation used tightly coupled components with synchronous blocking calls that didn't scale, so we had to refactor to use async/await patterns and decouple the services before we could add the new features."

What they hear: "Blah blah technical problems blah blah."

✅ CLEAR (They Understand)

"We discovered the old code was built in a way that makes it hard to add new features safely. Think of it like trying to add a room to a house with a weak foundation—you need to fix the foundation first or the whole thing could collapse.

Impact: This adds 2 weeks to the timeline, but prevents major problems later."

Why this works:

  • Relatable analogy
  • Explains WHY (prevents problems)
  • States the impact (2 weeks)
  • Non-technical people can understand and approve

Scenario: Explaining Security Needs

❌ TECHNICAL

"We need to implement end-to-end encryption with AES-256, enforce TLS 1.3 for transport, implement RBAC with granular permissions, and add multi-factor authentication with TOTP."

They think: "Is all that really necessary? Sounds expensive."

✅ CLEAR

"Right now, sensitive data could be intercepted or accessed by unauthorized people—similar to sending postcards instead of sealed letters.

What we're adding:

  • Encryption: Locks data so only intended recipients can read it
  • Access controls: Ensures people only see what they're supposed to
  • Two-factor login: Like requiring both a key and a PIN to open a safe

Why it matters: Prevents data breaches that could cost millions in fines and reputation damage."

Why this works:

  • Analogy they understand (postcards vs sealed letters)
  • Breaks down complex items
  • Connects to business risk they care about

How to Handle Technical Questions

When They Ask Something Technical

Them: "How does the authentication work?"

Don't dive straight into OAuth flows.

Instead, clarify what they're really asking:

✅ "Are you asking how secure it is, or how the technical process works?"

Then answer based on their real question:

If they care about security: "It's very secure—uses the same system as banking apps. Even if someone steals a password, they can't get in without the second factor."

If they actually want technical details: "Users log in, we generate a secure token that expires after an hour, and each request includes that token to verify they're still authenticated."

When You Don't Know How to Simplify

Use this framework:

  1. What problem does this solve?
  2. What's the simplest real-world equivalent?
  3. What's the outcome they'll see?

Example:

  • Problem: App crashes when too many people use it
  • Equivalent: Like a highway getting jammed—we're adding more lanes
  • Outcome: App stays fast even when busy

Common Technical Concepts Made Clear

API

Technical: "Application Programming Interface for system integration"

Clear: "A way for different apps to talk to each other. Like how your weather app gets data from a weather service—there's an API connecting them."

Cloud Computing

Technical: "Distributed computing resources provisioned on demand"

Clear: "Instead of buying and maintaining servers in your office, you rent computer power from a company like Amazon or Microsoft, and they handle all the maintenance."

Machine Learning

Technical: "Statistical models trained on large datasets to identify patterns and make predictions"

Clear: "Teaching a computer to recognize patterns by showing it thousands of examples, like how you learned to recognize spam emails after seeing enough of them."

Scalability

Technical: "The ability to handle increased load through horizontal or vertical scaling"

Clear: "Designing the system so it can handle more users without breaking or slowing down—like a restaurant that can add more tables when it gets busy."

What NOT to Do

❌ Don't Use Analogies That Require Explanation

Bad: "It's like a Merkle tree in a blockchain..."

If your analogy needs an explanation, it's not helping.

Good: "It's like a filing cabinet where each drawer has a label so you can find things quickly."

❌ Don't Be Condescending

Bad: "Let me explain this in terms you can understand..."

Bad: "It's really simple, even non-technical people can get this..."

Bad: [Speaking slowly like they're children]

They're not stupid. They're not technical. There's a difference.

❌ Don't Apologize for Being Technical

Bad: "Sorry, this might get a bit technical..."

Bad: "I know this is complicated, bear with me..."

Confidence matters. If you frame it as confusing, they'll expect to be confused.

Better: "Let me walk you through this step by step."

❌ Don't Show Off Your Knowledge

Bad: "Well, actually, we're using a graph database with Cypher queries, not SQL, because the relationship-first model better suits our use case for traversing complex hierarchies..."

They don't care that you know the technical details. They care that the thing works.

Special Situations

When Explaining to Executives

They care about:

  • Business impact
  • Cost
  • Timeline
  • Risk

Structure:

  1. Bottom line first: "This will reduce support tickets by 40%"
  2. Brief explanation: "By adding a help system that answers common questions automatically"
  3. Resources needed: "2 weeks, $10K in tools"
  4. Risk: "Low risk—if it doesn't work, we turn it off"

Technical details only if they ask.

When Explaining Why Something Broke

Don't: "The async event handler threw an unhandled promise rejection when the database connection pool was exhausted..."

Do: "The system got overwhelmed when 10x more people than expected tried to use it at once. Think of it like a restaurant running out of tables—people had to wait or leave.

What we're doing: Adding capacity so this doesn't happen again."

When They Want to Understand Deeply

Some people genuinely want to learn the technical details.

How to tell:

  • They ask follow-up questions
  • They take notes
  • They ask "How does X work?" not "When will this be done?"

For these people: ✅ Go deeper ✅ Draw diagrams ✅ Use correct terminology ✅ Explain the tradeoffs

But still build up from simple to complex.

How to Test If Your Explanation Worked

Ask Them to Explain It Back

You: "Does that make sense? Can you explain what we're doing in your own words?"

If they can explain the core concept, you succeeded.

If they can't, your explanation wasn't clear enough.

Watch for Signs of Confusion

They're lost if they:

  • Go quiet and stop asking questions
  • Nod but look confused
  • Say "okay" without follow-up
  • Start looking at their phone

If you see this, reset: "Let me back up and explain this differently..."

Building Your Explanation Skills

Practice With Non-Technical Friends

Before important meetings:

  • Explain the concept to a friend/family member
  • See what questions they ask
  • Refine your analogies
  • Remove jargon

If your non-technical friend gets it, your stakeholders will too.

Keep a Metaphor Library

Collect analogies that work:

  • Authentication = keys to a building
  • Cache = short-term memory
  • Backup = insurance
  • Database = filing cabinet
  • Load balancer = traffic cop
  • Firewall = security guard
  • API = waiter between you and kitchen

Reuse what works.

Learn What They Actually Care About

Different audiences care about different things:

Executives: Business impact, cost, risk Sales team: Customer benefits, competitive advantage Support team: How it affects their work, what changed End users: What they can do, how it helps them

Tailor your explanation to their perspective.

The 4 Tests for Technical Explanations

Before explaining a technical concept:

1. SIGNAL: Would a non-technical person understand this?

Jargon-free? Or full of acronyms?

2. OPPORTUNITY: Am I starting with why this matters?

Or diving straight into HOW?

3. RISK: Am I over-explaining or under-explaining?

Match depth to their needs.

4. AFFECT: Am I being respectful and clear?

Or condescending? Or showing off?

Check Your Explanation

Not sure if your technical explanation is clear enough?

Analyze it free with 4Angles →

Paste your explanation. See how it scores on:

  • SIGNAL (Is this jargon-free and clear?)
  • OPPORTUNITY (Does it start with the outcome?)
  • RISK (Is it the right depth?)
  • AFFECT (Is it respectful and accessible?)

Get specific guidance on simplifying technical concepts.

No signup required. Just instant analysis.

Related Reading

  • How to Write Documentation That People Actually Read
  • How to Sound Smart Without Using Big Words
  • Why Your Presentation Is Boring

About 4Angles: We analyze your writing from 4 psychological perspectives (Signal, Opportunity, Risk, Affect) to help you communicate with confidence. Free analysis available at 4angles.com.

Last Updated: 2025-10-28

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