Technical decisions for non-technical people: A survival guide

Here's a secret that technical people don't want you to know: you don't need to understand how something works to make good decisions about it.

You probably don't know how your car's transmission works. But you know when it's shifting weird. You don't understand the chemistry behind your restaurant's kitchen, but you know when the food tastes off. And you definitely don't need a medical degree to know when you need a second opinion.

Technology decisions work the same way.

The real challenge (and why it feels so hard)

Let's be honest about what's actually happening when you face a technical decision. Someone is speaking a language you don't fully understand, asking you to commit significant money and time to something you can't independently verify.

That's uncomfortable. And that discomfort leads to two equally bad outcomes:

Outcome one: You defer entirely. "I don't understand this stuff, so I'll just trust the experts." This works until it doesn't — and when it doesn't, you're stuck with a system that doesn't fit your business, a budget that's blown, or both.

Outcome two: You pretend to understand. You nod along, ask no questions, and make decisions based on vibes and vendor enthusiasm. Same result, different path.

The good news? There's a third option. And it doesn't require you to learn to code.

Framework 1: Focus on outcomes, not technology

Here's the mental shift that changes everything: stop asking "what does this technology do?" and start asking "what business problem does this solve?"

You don't need to understand Kubernetes to know whether your website should load faster. You don't need to understand API architecture to know whether your sales team should be able to see customer data from your support system.

The outcome-first framework:

1. What business problem are we solving?
2. How will we know if we've solved it?
3. What does success look like in 6 months? 12 months?
4. What happens if we do nothing?

When someone pitches you on a technology solution, run it through these questions first. If they can't answer them clearly — in plain language — that's a red flag about either the solution or the person proposing it.

Framework 2: Compare to familiar business decisions

Technology decisions feel foreign, but they're really just business decisions wearing a hoodie.

Hiring comparison: Choosing a software development partner is like hiring a senior employee. You're evaluating expertise, cultural fit, communication style, and long-term potential. You wouldn't hire someone just because they have impressive credentials — you'd want to see how they think, how they communicate, and whether they understand your business.

Real estate comparison: Building custom software is like building a custom office. You need to think about current needs, future growth, maintenance costs, and exit strategies. Nobody builds an office without asking "what happens if we outgrow this in three years?"

Vehicle fleet comparison: Choosing between cloud providers is like choosing a vehicle fleet. You're weighing upfront costs against long-term operating expenses, reliability, service networks, and whether the vendor will still be around in five years.

When a technical decision feels overwhelming, ask yourself: "What familiar business decision is this most like?" Then apply the same judgment you'd use for that decision.

Framework 3: Use questions, not pretend understanding

The most powerful tool in your arsenal is the willingness to ask "dumb" questions. They're not dumb. They're clarifying.

Technical people often skip over foundational explanations because they assume you already know them. When you ask clarifying questions, you're not revealing ignorance — you're forcing precision.

The magic phrase: "Help me understand..."

• "Help me understand why this approach is better than the alternative."
• "Help me understand what could go wrong with this plan."
• "Help me understand why this costs what it costs."

This phrase does three things: it signals genuine curiosity (not accusation), it puts the burden of explanation on the expert, and it gives you permission to keep asking until you actually understand.

20 questions that reveal everything you need to know

Here's your cheat sheet. These questions work for almost any technology decision — software purchases, development projects, infrastructure changes, you name it.

Questions about the problem

1. What specific business problem are we solving?
2. How are we handling this today, and what's wrong with that approach?
3. What happens if we do nothing for another year?
4. Who in our organization is most affected by this problem?

Questions about the solution

5. Why this approach instead of alternatives?
6. What are we giving up by choosing this path?
7. What assumptions are we making that could turn out to be wrong?
8. How does this solution handle our business growing 3x?

Questions about cost and timeline

9. What's the total cost, including things we might not be thinking about?
10. What could make this cost more than expected?
11. What's a realistic timeline, not the optimistic one?
12. What could delay us, and how likely is that?

Questions about risk

13. What's the worst case scenario, and how bad would it be?
14. What happens if this vendor goes out of business?
15. How hard would it be to switch to something else later?
16. What are we depending on that's outside our control?

Questions about success

17. How will we know if this is working?
18. What metrics should we track?
19. When should we expect to see results?
20. What would make us regret this decision in two years?

Red flags that something is wrong

You don't need technical expertise to spot trouble. Here are the warning signs that should make you pause:

Communication red flags

• Jargon overload: If someone can't explain something in plain language, they either don't understand it themselves or they're trying to obscure something.
• Defensiveness about questions: Good technical people welcome questions. Bad ones get irritated by them.
• Vague timelines: "It depends" is sometimes legitimate. "It depends" to every timeline question is a red flag.
• Dismissing concerns: "Don't worry about that" without explanation is a problem.

Process red flags

• No documentation: If there's no written plan, there's no plan.
• Scope creep enthusiasm: Beware of people who keep adding features without discussing cost and timeline implications.
• Single points of failure: If only one person understands how something works, you have a risk problem.
• Resistance to outside review: Good work survives scrutiny. Resistance to review suggests something won't.

Business red flags

• Technology looking for a problem: "This is really cool technology" is not a business case.
• Vendor lock-in minimization: If someone brushes off concerns about being trapped with a vendor, they're not thinking about your long-term interests.
• Unrealistic ROI projections: If the numbers seem too good to be true, they probably are.

When and how to get second opinions

You wouldn't accept a major medical diagnosis without considering a second opinion. Technology decisions deserve the same scrutiny.

When to get a second opinion

• Any decision involving more than $50,000
• Any project expected to take more than 6 months
• Any time you feel uncomfortable but can't articulate why
• Any time the proposed solution seems surprisingly simple or surprisingly complex
• Any time you're being pressured to decide quickly

How to get a second opinion

Option 1: Fractional CTO or technical advisor. Someone who understands technology but works for you, not the vendor. They can review proposals, sit in on technical discussions, and translate between technical and business language.

Option 2: Industry peer. Find someone in your industry who's faced similar decisions. They won't know your specific situation, but they can share what worked and what didn't for them.

Option 3: Independent consultant. Pay someone with no stake in the outcome to review the proposal. A few thousand dollars for a review can save you from a six-figure mistake.

The translation challenge: Technical to business language

One of the most valuable skills you can develop is the ability to translate technical concepts into business terms. Here's a starter dictionary:

When you encounter a term you don't know, ask: "Can you explain that in terms of how it affects our business?" Any good technical person can and will.

How much understanding is enough?

Here's a liberating truth: you don't need to understand everything. You need to understand enough to:

1. Ask good questions — You can do this with the frameworks above.
2. Evaluate answers — Does the explanation make sense? Is it consistent with what you've heard before?
3. Spot red flags — Does something feel off? Trust that instinct and dig deeper.
4. Make trade-off decisions — When someone says "we can do A or B," you need to understand the business implications of each.

You don't need to understand how something works. You need to understand what it does, what it costs, what could go wrong, and whether it fits your business.

That's it. That's the bar.

Trust but verify: Appropriate oversight

"I trust my technical team" is not a management strategy. It's an abdication of responsibility.

Trust is important. But trust without verification leads to surprises — usually expensive ones.

What appropriate oversight looks like

Regular check-ins with clear metrics: Not "how's the project going?" but "are we on track for the milestones we agreed to?"

Visible progress: Can you see something working, even if it's incomplete? Demos beat status reports.

Budget tracking: Are we spending what we expected? If not, why?

Risk acknowledgment: What problems have come up? What might come up? Teams that never report problems are either lying or not looking hard enough.

What inappropriate oversight looks like

Micromanaging technical decisions: You hired experts. Let them be experts.

Demanding daily updates: Unless there's a crisis, this creates more overhead than value.

Second-guessing every choice: If you don't trust your team's judgment, you have a hiring problem, not an oversight problem.

The learning journey: Building fluency over time

You're not going to become technical overnight. But you can become more comfortable with technology decisions over time.

Practical ways to build fluency

Read the business press on technology. Not technical publications — business publications covering technology. They translate for you.

Ask your technical people to explain one thing per week. Not a lecture. Just "explain this one concept to me in five minutes."

Attend demos, not just status meetings. Seeing software work builds intuition that reports never will.

Review post-mortems. When something goes wrong, understanding why builds pattern recognition for the future.

Talk to peers. Other business leaders facing similar decisions are your best source of practical wisdom.

The goal isn't expertise

The goal is confidence. Confidence to ask questions. Confidence to push back. Confidence to say "I don't understand that" without feeling embarrassed.

That confidence comes from having frameworks (which you now have), asking questions (which you now have), and experience (which you'll build over time).

The bottom line

You don't need to become technical to make good technology decisions. You need to:

1. Focus on business outcomes, not technology details
2. Compare unfamiliar decisions to familiar ones
3. Ask questions relentlessly
4. Watch for red flags
5. Get second opinions on big decisions
6. Trust but verify

The technical people in your life — employees, vendors, consultants — should be able to explain things in terms you understand. If they can't or won't, that tells you something important.

Your job isn't to understand the technology. Your job is to understand whether the technology serves your business.

And that? That's just business judgment. Which you already have.

Entvas Editorial Team

Helping businesses make informed decisions