The Power of Custom Instructions in ChatGPT

ChatGPT has proven to be an incredible asset across nearly every profession and industry. However, those who rely solely on its default settings are missing out on its full potential.

Custom instructions offer a way to transform ChatGPT from a general-purpose language model into a highly specialized tool tailored to your specific needs. Think of them as a blueprint for ChatGPT's output, guiding it to generate text that aligns perfectly with your brand voice, formatting requirements, or even complex multi-step tasks that demand domain expertise.

The applications are endless. For marketers, custom instructions can ensure ad copy that resonates with target audiences and drives conversions. Creative writers can harness ChatGPT to generate compelling stories that adhere to specific themes or styles. Educators can leverage it to create interactive lesson plans that cater to diverse learning styles.

And let's not forget the tech industry. ChatGPT, when equipped with the right instructions, can generate technical documentation that is both accurate and accessible, analyze complex data sets, and even assist in writing code snippets.

Put simply, custom instructions enable businesses to take control of ChatGPT's output, ensuring that the content it generates is relevant and high quality, saving valuable time and resources.

In ChatGPT, if you click on your profile in the upper right hand corner and select Customize ChatGPT, you’ll get the following box to enter custom instructions:

In this conversation, I’m going to focus on the bottom box – “how would you like ChatGPT to respond.”

There are lots of things you can do here.  Tell ChatGPT to always output content in bullet format.  Tell it to have a sense of humor.  Tell it to always use the max number of tokens when it does analysis.  The options are limitless!  There are three things that I’ve found that make a world of difference in the output that I get.

  • Tell ChatGPT to identify two relevant experts (roles) when solving your problems and identify them

  • Give me a confidence score in how good its answer is

  • Create smart choices for me at the end of the query to continue the conversation with logical options

Let me show you two different queries and the outputs both without and then with custom instructions.

Question 1: “I’m updating b2b sales compensation plans for account executives. Give me the three most important factors to consider when updating them.”

Question 2: “Explain value-based pricing?”

These queries were run with the latest ChatGPT 4o model in September, 2024. 

QUESTION 1 – NO CUSTOM INSTRUCTIONS

When updating B2B sales compensation plans for Account Executives (AEs), the three most important factors to consider are:

  • Alignment with Business Goals: The compensation plan should incentivize behaviors that align with your company’s current objectives, such as driving revenue growth, expanding into new markets, or increasing customer retention. This ensures that AEs are focused on activities that directly contribute to the company’s strategic goals.

  • Balance Between Base and Variable Pay: It's critical to strike the right balance between fixed base salary and performance-based variable compensation (commissions, bonuses). Too much fixed pay can reduce motivation, while too much reliance on variable pay can lead to inconsistent income, which may cause stress or turnover. The split should reflect the sales cycle and industry norms, with higher variable components for more performance-driven roles.

  • Clear, Attainable Metrics and Transparency: The compensation plan must be clear, with easily understood targets that AEs can realistically achieve. Complicated or ambiguous structures can lead to confusion and dissatisfaction. Ensure that the plan transparently communicates how performance will be measured, what rewards are tied to that performance, and how it can be achieved without creating undue complexity.

These factors help motivate your sales team while aligning their efforts with company objectives.

QUESTION 1 – WITH CUSTOM INSTRUCTIONS

An expert in B2B Sales Strategy and an expert in Sales Compensation Structures will be assisting us with collaboration, critique, and detailed advice.

When updating B2B sales compensation plans for account executives (AEs), three of the most critical factors to consider are:

1. Alignment with Business Goals

  • Quota and Target Setting: Ensure compensation plans are tightly aligned with your company’s strategic goals, whether focused on revenue growth, customer acquisition, or profitability. Clear and realistic quotas must support your sales targets.

    • Example: If the company is emphasizing high-margin product sales, the compensation plan should reward AEs more for selling those specific products.

  • Revenue vs. Profit Focus: Depending on whether your priority is top-line revenue growth or bottom-line profitability, adjust the incentives accordingly. This will ensure that AEs prioritize deals that best serve the company’s financial goals.

2. Balanced Compensation Structure

  • Base vs. Variable Pay: A common ratio is 60/40 (base/variable), but this should be adjusted based on industry norms, the risk tolerance of your AEs, and sales cycle length. Ensure the variable portion motivates high performance without creating unnecessary risk aversion.

  • Accelerators and Caps: Implement accelerators to reward overachievement and consider whether compensation should be capped or not. Overachievement incentives (e.g., bonuses for exceeding quotas by 20% or more) can drive aggressive sales behavior in key growth periods.

  • Commission Frequency: Determine if monthly, quarterly, or annual commissions best match the sales cycle of your business. For long sales cycles, quarterly commissions might ensure AEs are compensated more regularly.

3. Performance Metrics and Incentives

  • KPIs Beyond Revenue: Incorporate other key performance indicators (KPIs), such as customer satisfaction (NPS), deal quality, or contract renewals. This prevents AEs from focusing only on quick wins and encourages long-term customer relationships.

    • Example: You could offer bonuses for cross-selling or upselling to existing customers or for bringing in multi-year deals, ensuring sales behavior aligns with broader business objectives.

  • Transparency and Fairness: Make sure the compensation plan is simple and transparent so that AEs understand exactly how to earn their variable pay. This reduces confusion and increases motivation.

Confidence: 92%

Would you like to explore any of these areas further, such as defining the right quota-to-variable ratio or choosing specific performance metrics? Here are a few options for deeper discussion:

  • Quota-setting and accelerators

  • Compensation structure balance (base vs. variable)

  • Advanced performance metrics beyond revenue

QUESTION 2 – NO CUSTOM INSTRUCTIONS

Value-based pricing is a pricing strategy where the price of a product or service is determined by the perceived value it delivers to the customer, rather than by the cost of production or historical prices. It focuses on the benefits and outcomes a customer expects from a product, aligning the price with the customer’s willingness to pay for those benefits.

Key Aspects of Value-Based Pricing:

1. Customer-Centric: The pricing is based on the customer’s perception of the product’s value. Businesses must understand their customers' needs, preferences, and how much they are willing to pay for the perceived benefits.   

2. Perceived Value: The value is subjective and often influenced by factors like the product's quality, brand reputation, unique features, or how it solves a customer’s problem.

3. Market Differentiation: Companies using value-based pricing differentiate themselves from competitors by focusing on the unique value they offer. This could be a product's functionality, emotional appeal, or status symbol.

4. Profit Maximization: By aligning prices with what customers are willing to pay rather than production costs, businesses can potentially achieve higher profit margins.

5. Requires Deep Customer Insight: Successful value-based pricing requires extensive market research and customer understanding to accurately determine what customers value and how much they are willing to pay for it.

Example:

If a luxury watch brand uses value-based pricing, it sets a high price because its customers perceive the brand as a symbol of prestige and quality. Even though the production cost may not be significantly higher than a mid-range watch, the perceived value of owning that luxury item allows the brand to charge more.

In contrast, a company focusing on cost-based pricing would simply calculate the production costs and add a markup, without considering the customer’s perception of value.

QUESTION 2 – WITH CUSTOM INSTRUCTIONS

An expert in pricing strategy and an expert in behavioral economics will be assisting us with collaboration, critique, and detailed advice.

Overview of Value-Based Pricing

Definition:

Value-based pricing is a strategy where prices are set primarily based on the perceived or estimated value of a product or service to the customer, rather than based on the cost of production or historical prices. It focuses on aligning the price with the benefits or outcomes that the customer derives from using the product.

Key Components:

1. Customer Perception of Value:

  • The core of value-based pricing is understanding how much value your product or service brings to your customer. This can vary by market segment, customer type, and even individual preferences.

  • This perception is often influenced by the ability of the product or service to solve a pressing problem, enhance a process, or deliver a particular experience.

2. Benefits over Cost:

  • Pricing is not determined by the cost of production or competitors’ prices, but by how much benefit the customer receives.

  • The more critical and unique the solution, the higher the customer’s willingness to pay.

3. Segmentation:

  • Customers are segmented based on their perceived value of the product. High-value segments might be willing to pay a premium, while others may see less value and demand lower pricing.

  • Segmentation is essential because not all customers derive the same value from a product.

4. Emotional and Functional Benefits:

  • Value is not only derived from the functional utility of a product but also from emotional satisfaction (brand prestige, aesthetics, etc.). Understanding both types of benefits is crucial for effective pricing.


Steps in Implementing Value-Based Pricing:

1. Identify Customer Segments:

  • Understand which customer groups value your product the most.

  • Conduct customer research, surveys, and market analysis to determine different value perceptions.

2. Quantify Value:

  • Calculate the financial or non-financial benefits that your product brings to the customer, such as cost savings, increased efficiency, or emotional satisfaction.

  • Use tools like conjoint analysis or focus groups to quantify these benefits.

3. Communicate the Value:

  • Ensure that customers understand the full value they are receiving from the product. This includes marketing efforts that clearly articulate the problem-solving aspects of your product and its superiority over alternatives.

4. Set Pricing Based on Value:

  • Pricing should reflect the value that customers perceive and the benefits they derive, adjusting for different customer segments as necessary.

  • Avoid simply adding a markup to costs; instead, focus on the willingness-to-pay across your customer base.

5. Test and Refine:

  • Value perceptions can shift over time, so it's essential to constantly test pricing through A/B testing, market experiments, or adjusting based on customer feedback.

  • Adjust pricing strategies based on competitive responses and evolving customer needs.

Advantages:

Increased Profitability: By capturing more value, companies can command premium prices, improving margins and profitability.

Customer Alignment: It aligns with customer expectations, leading to higher satisfaction and loyalty.

Competitive Differentiation: Products can stand out in the market as the pricing reflects the unique value offered rather than undercutting competitors.

Challenges:

Complexity in Value Assessment: Accurately gauging the perceived value for different segments can be challenging and resource-intensive.

Constant Monitoring: Requires continuous feedback and adjustment as market conditions, customer preferences, and competitor actions change.

Requires Strong Communication: Companies must be excellent at communicating the value proposition clearly and convincingly to justify higher prices.

Use Cases:

Software as a Service (SaaS): Companies like Salesforce or HubSpot employ value-based pricing by charging customers based on the number of users or the scale of features used, reflecting the value customers get from their software.

Luxury Goods: Brands like Rolex or Louis Vuitton price their products well above the cost of materials and production because of the perceived emotional and status value their products deliver.

Conclusion:

Value-based pricing requires a deep understanding of customer needs, strong communication of the product's benefits, and the ability to segment and adapt prices. It maximizes the profitability of a company while ensuring that customers feel satisfied with the price they pay relative to the benefits they receive.

Confidence: 93%

Would you like to explore deeper into:

  1. Tools for value quantification

  2. Market segmentation methods in value-based pricing

  3. Case studies of companies successfully using this model

As you can see – the output I’m getting when using custom instructions is far more detailed, far more nuanced, has a confidence interval for me to understand how good it things its answer is – and importantly – suggested follow-on topics to continue the discussion.  I’ve found that this has a major impact in how I interact with ChatGPT and the value I get out of it.  

I want to spend a minute talking about the confidence score (93%) you see included in the text there.  I've found that having ChatGPT assign confidence scores to responses provides a level of transparency that's invaluable. It allows me to quickly gauge the reliability of the information being providing, which is especially important when dealing with complex topics or data-driven insights.

Incorporating these scores into my custom instructions has been a game-changer. This practice is particularly crucial in fields where precision is key - think legal, revenue operations, or AI applications. By quantifying a level of confidence in an answer, ChatGPT is allowing me to make informed decisions with greater clarity and assurance. It's a nuanced approach to expertise that I believe adds significant value to my work.

For your reference – here are the specific custom instructions I’m using right now (bottom box of custom instructions):

You MUST ALWAYS:

  1. Use high effort and keep trying instead of giving up. You'd better be sure; this is very important to my career!

  2. Respond in detailed outline bullet point format for an expert audience.

  3. Avoid all apologies, self-referencing as an AI, and advising to seek info elsewhere.

Expert Consultation:

  1. With each new project you MUST identify two relevant specialist experts to help, and assume those additional roles for the conversation.

  2. ALWAYS begin your first response with "An expert in [specialty 1] and an expert in [specialty 2] will be assisting us with collaboration, critique and detailed advice”.

EVERY response MUST include a confidence score on a 1-100% scale in format "Confidence 84%"!!!

Read the project details again. Feel free to ignore irrelevant information in the problem description. Rephrase and expand the question, and respond.

Walk me through the prompted context in manageable parts step by step, summarizing and analyzing as we go. You must think more steps.

#When the prompted questions have been fully answered, offer to lead me through a deeper discussion by listing concise multiple-choice options to do so (A, B, C, etc.).  Continue this process indefinitely.

Looking ahead, the future of custom instructions is incredibly exciting. As ChatGPT and other language models continue to evolve, we can expect to see even more sophisticated and nuanced outputs.  Play with it today and I guarantee you’ll see major improvements in the output you get and experience you have. 

About the author

Steve Smith, CEO of RevOpz Group

With over two decades in tech leadership, Steve has empowered 100+ organizations in just two years, skyrocketing their productivity and revolutionizing their analytics and content creation processes.

Connect with Steve at [email protected] or learn more at www.revopz.net.

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