Making an important business decision can be surprisingly difficult.
Should you launch a new product? Which marketing strategy should you choose? Is it worth investing in new software? Should you hire another employee or outsource the work?
In many cases, the problem isn’t a lack of information. The problem is that there is too much information, too many competing priorities, and too many possible outcomes.
This is where artificial intelligence tools such as ChatGPT can become useful.
Rather than treating ChatGPT as something that simply provides answers, businesses can use it as a decision-support assistant—helping organize information, identify alternatives, challenge assumptions, compare options, and structure a decision-making process.
This article presents an illustrative case study showing how a small business owner could use ChatGPT to make a better-informed business decision.
Important: This is an illustrative case study designed to demonstrate a decision-making method. It is not presented as a real SmartDecisionsHub customer case.
The Business Decision
Imagine a small online business that sells productivity-related digital products.
The business owner has been generating steady sales but wants to grow the business.
There are three possible ways to invest the next six months of time and budget:
Develop a new digital product.
Spend more money on online advertising.
Build a content marketing and SEO strategy.
The owner has limited resources and cannot pursue all three strategies aggressively.
The question is:
Which strategy should the business prioritize?
At first glance, this sounds like a straightforward question.
But it isn’t.
Each option has different costs, risks, time requirements, and potential returns.
The owner could simply choose the option that “feels” best.
Alternatively, they could use a structured decision-making process—with ChatGPT acting as an additional thinking partner.
Step 1: Define the Decision Clearly
One of the biggest mistakes people make when making decisions is starting with possible solutions before clearly defining the problem.
Instead of asking:
“What should I do to grow my business?”
the business owner can ask ChatGPT to help turn the problem into a structured decision.
For example:
Prompt:
I run a small online business and want to increase revenue over the next six months. I have limited budget and approximately 10 hours per week available for growth activities. My three options are developing a new product, increasing paid advertising, or investing in SEO and content marketing. Help me define the decision I actually need to make and identify the most important factors I should consider.
ChatGPT can help identify factors such as:
Expected revenue potential
Initial investment
Time required
Risk
Time before results appear
Existing capabilities
Scalability
Long-term value
Difficulty of implementation
The important point is that ChatGPT isn’t making the decision yet.
It is helping the business owner understand the decision.
Step 2: Establish Decision Criteria
Next, the business owner can create a simple decision framework.
For example:
| Criteria | Weight |
|---|---|
| Revenue potential | 30% |
| Cost | 20% |
| Speed of results | 15% |
| Long-term value | 20% |
| Risk | 10% |
| Implementation difficulty | 5% |
The total is 100%.
This changes the question from:
“Which option do I like?”
to:
“Which option performs best against the criteria that matter to me?”
This is a much more disciplined approach.
ChatGPT can help identify potential criteria, but the business owner should decide which criteria actually matter.
Step 3: Ask ChatGPT to Challenge the Assumptions
This is where AI-assisted decision making becomes particularly interesting.
People often make decisions based on assumptions they don’t realize they are making.
For example:
“Advertising will generate sales quickly.”
“SEO is free.”
“A new product will automatically attract customers.”
“Customers will want the new product.”
“I don’t have enough time for content marketing.”
Instead of asking ChatGPT:
“Which option is best?”
a better prompt might be:
Act as a skeptical business advisor. Examine my three growth options and identify the assumptions I may be making about each option. For each assumption, explain how I could test it before committing significant money or time.
This changes ChatGPT’s role.
It is no longer simply generating ideas.
It is challenging the reasoning behind the decision.
That can be extremely valuable.
Step 4: Compare the Options
The business owner can then ask ChatGPT to organize the alternatives.
For example:
Compare these three strategies using revenue potential, cost, speed of results, long-term value, risk, and implementation difficulty. Don’t choose the winner yet. Explain the strengths and weaknesses of each option.
The resulting analysis might look conceptually like this:
| Option | Main Advantage | Main Disadvantage |
|---|---|---|
| New Product | Creates a new revenue stream | Requires development time |
| Paid Advertising | Can generate traffic quickly | Requires ongoing spending |
| SEO & Content | Builds long-term traffic | Results may take longer |
Notice something important.
The analysis doesn’t automatically tell the owner what to do.
Instead, it makes the trade-offs visible.
That’s one of the most useful applications of ChatGPT in decision making.
Step 5: Introduce a Scoring Model
Now the business owner can combine human judgment with AI assistance.
Each option can be scored from 1 to 5.
For example:
| Criteria | Weight | Product | Advertising | SEO |
|---|---|---|---|---|
| Revenue potential | 30% | 4 | 4 | 3 |
| Cost | 20% | 3 | 2 | 5 |
| Speed | 15% | 3 | 5 | 2 |
| Long-term value | 20% | 5 | 2 | 5 |
| Risk | 10% | 3 | 2 | 4 |
| Difficulty | 5% | 3 | 4 | 3 |
The weighted scores provide a more objective starting point.
But there is an important warning:
A scoring model doesn’t magically make a decision objective.
The weights and scores still represent human judgments.
ChatGPT can help construct and critique the model, but the business owner remains responsible for deciding what the criteria and scores should be.
Step 6: Ask ChatGPT to Argue Against the Preferred Option
This is one of my favorite techniques for AI-assisted decision making.
Suppose the business owner becomes convinced that SEO is the best option.
Instead of asking ChatGPT to confirm that decision, ask it to challenge it.
For example:
I currently believe SEO and content marketing is the best option. Act as a business advisor who disagrees with me. Build the strongest argument against this decision. Identify the circumstances under which paid advertising or developing a new product would actually be better.
This introduces a form of devil’s advocacy.
It helps expose confirmation bias—the tendency to look for information that supports a decision we already prefer.
AI can therefore be useful not only for generating ideas, but also for challenging our thinking.
Step 7: Identify What Information Is Still Missing
A good decision doesn’t necessarily require knowing everything.
Instead, we should identify which unknowns could materially change the decision.
For example:
What is the current customer acquisition cost?
Which existing pages generate the most traffic?
What percentage of visitors become customers?
How much would advertising cost?
How long would the new product take to develop?
Do customers actually want the proposed product?
How much organic traffic could realistically be generated?
The business owner could then ask:
What information would most likely change my decision between these three options? Rank the missing information by importance and explain how I could obtain each piece of information.
This is an extremely powerful question.
Instead of spending weeks collecting every possible piece of data, the owner focuses on the information that could actually change the decision.
Step 8: Turn the Decision Into an Experiment
The final step is perhaps the most important.
Rather than making a large commitment immediately, the business owner could test the preferred strategy on a smaller scale.
For example:
30-Day Experiment
Week 1
Identify five high-value content topics.
Research customer questions.
Define target keywords.
Establish baseline traffic and conversions.
Weeks 2–4
Publish several targeted articles.
Promote them through existing channels.
Monitor traffic and engagement.
Measure conversions.
At the end of the experiment, the owner can review the results.
The question becomes:
“What did we learn?”
rather than:
“Was our original decision right or wrong?”
That is a much healthier approach to business decision making.
What ChatGPT Actually Contributed
Looking at the entire process, ChatGPT didn’t perform one magical calculation that produced the correct answer.
Instead, it contributed at several stages:
1. Problem Definition
It helped clarify what decision actually needed to be made.
2. Criteria Generation
It helped identify factors that could influence the decision.
3. Alternative Analysis
It helped compare the advantages and disadvantages of different options.
4. Assumption Testing
It helped identify assumptions that needed validation.
5. Devil’s Advocacy
It challenged the business owner’s preferred option.
6. Information Prioritization
It helped identify which missing information was most important.
7. Experiment Design
It helped turn a major decision into a smaller, testable experiment.
This is a much more useful way to think about ChatGPT for decision making.
ChatGPT Should Be a Decision Partner, Not the Decision Maker
There is an important distinction here.
ChatGPT can help you:
Structure a problem
Generate alternatives
Analyze trade-offs
Identify assumptions
Explore scenarios
Build decision matrices
Challenge your reasoning
Create action plans
But it doesn’t automatically know your business.
It may also misunderstand your situation, rely on incomplete information, or produce an answer that sounds convincing without being correct.
Therefore, the best approach is:
Human judgment + reliable information + AI assistance
rather than:
AI makes the decision for me.
A Simple ChatGPT Decision-Making Prompt
You can actually turn the process above into a reusable prompt.
Try this:
Act as my decision-making advisor.
I need to make the following decision:
[DESCRIBE THE DECISION]
My available options are:
[OPTION A]
[OPTION B]
[OPTION C]
My constraints are:
Budget: [BUDGET]
Time available: [TIME]
Deadline: [DEADLINE]
Risk tolerance: [LOW/MEDIUM/HIGH]
First, help me clarify the decision.
Then:
Identify the most important decision criteria.
Suggest reasonable weights for those criteria.
Identify assumptions behind each option.
Identify missing information that could change the decision.
Compare the options.
Challenge my assumptions.
Argue against the option that appears strongest.
Suggest a small experiment I could run before making a major commitment.
Provide a final recommendation with the reasoning clearly explained.
Do not simply agree with me. Point out weaknesses in my reasoning and identify information I should verify independently.
This prompt transforms ChatGPT from a simple question-and-answer tool into a structured AI decision support assistant.
The Bigger Lesson
The real value of ChatGPT in decision making isn’t necessarily that it knows the “right answer.”
The greater value is that it can help us think through the problem more systematically.
A good decision-making process should help us:
Define → Compare → Challenge → Validate → Decide → Test → Learn
ChatGPT can participate in almost every stage of that process.
However, the final responsibility remains with the human decision-maker.
The best use of AI isn’t to eliminate human judgment.
It is to improve the quality of the thinking that leads to that judgment.
How This Fits Into Decision Intelligence
This approach also connects with the broader concept of decision intelligence.
Decision intelligence combines data, analytical methods, business rules, AI, and human judgment to improve organizational decisions.
If you’re interested in exploring this topic further, see our guide to Top 5 Decision Intelligence Tools for 2026: Expert Review & Comparison.
Likewise, organizations making decisions from fragmented information may benefit from understanding the problem of data silos. Our article Breaking Down Data Silos for Better Leadership Decisions explores how better access to integrated information can support leadership decisions.
Final Thoughts
Every business owner faces difficult decisions.
The challenge isn’t always finding more information.
Sometimes, the challenge is knowing how to think about the information you already have.
ChatGPT can help by acting as a brainstorming partner, analyst, critic, and structured thinking assistant.
But the goal shouldn’t be to ask:
“What decision should ChatGPT make for me?”
A better question is:
“How can I use ChatGPT to make my decision-making process better?”
That small change in perspective can make AI much more useful.
And ultimately, better decisions don’t come from AI alone.
They come from combining good questions, reliable information, structured thinking, human judgment, and continuous learning.