Your product solves a real problem, but every time you try to explain it, you see glazed eyes and confused questions. The deep knowledge you have about your solution paradoxically becomes the obstacle to communicating its value.
The right prompts transform that technical expertise into explanations that any audience understands in seconds. In this article, you will find 15 ready-to-use templates covering everything from elevator pitches for investors to WhatsApp chatbot responses, along with the anatomy of an effective prompt and the errors that ruin even the best intentions.
A prompt is a written instruction we give to an artificial intelligence to obtain a specific response. The best prompts for explaining complex products combine detailed context about the product, a clear definition of the target audience, and the exact output format we are looking for. When we structure a prompt well, the AI acts as a translator between deep technical knowledge and the language our audience actually understands.
The problem we face is interesting: technical teams know every detail of their product, but that very depth makes it difficult to communicate value to non-technical people. A well-designed prompt solves exactly that. It transforms dense specifications into tangible benefits that anyone understands in seconds.
Before looking at the 15 prompts, it’s worth understanding what makes a prompt work. Every effective prompt contains five elements working together:
The role defines who the AI is in the conversation. We can assign it the role of a sales consultant, a teacher, or a technical communication expert. This simple addition changes the tone and focus of the response remarkably.
Context includes relevant information about our product: main features, target market, problems it solves, and key differentiators. Without sufficient context, the AI generates generic responses that fail to capture what makes our product unique.
The task specifies what kind of explanation we are looking for. A 30-second elevator pitch? A comparison with competitors? A summary of benefits for executives? Clarity here determines the utility of the response.
The format indicates how we want to receive the information: narrative paragraphs, bullet points, comparative tables, or numbered steps. Specifying the format avoids having to reformat later.
The tone adjusts the communication style according to our audience. A professional tone works for executive presentations, while a casual tone fits better on social media or WhatsApp conversations.
Transforming complex terminology into accessible language requires specific techniques. Here are the ones that make a difference:
Analogies connect the unknown with the familiar. When we ask the AI to compare our product with everyday experiences, we create moments of instant understanding. Explaining a CRM as "your sales team's perfect memory" resonates more than listing functionalities.
Explicitly indicating to avoid or define technical terms produces more accessible explanations. We can include in the prompt: "Avoid technical jargon or define any specialized terms in simple language."
Specific examples anchor abstract concepts in real situations. Asking for use cases that demonstrate the product's value in recognizable scenarios makes the explanation memorable.
The layering technique starts with high-level benefits and adds detail gradually. Different audiences get the level of depth they need without overwhelming anyone.
The best prompts evolve. After using a generated explanation, we collect questions and confusion from the audience to refine the original prompt.
Knowing common mistakes helps avoid them from the start:
Providing insufficient information about the product and its market produces generic responses. The AI cannot guess what makes our product special if we don't tell it.
Failing to specify if we are speaking to executives, end-users, or technical evaluators results in an inappropriate tone and level of detail.
Asking for exhaustive detail and brevity in the same prompt confuses the AI. We choose a clear priority and remain consistent.
Not requesting an organized structure produces blocks of text that are difficult to scan. We always specify if we want bullet points, short paragraphs, or numbered sections.
Not testing the generated explanations with real members of the audience is a costly mistake. Validation reveals points of confusion we didn't anticipate.
Here are the ready-to-use prompts. Just replace the fields in brackets with specific information about your product.
"Act as a pitch consultant for startups. My product is [product description] which solves [main problem] for [target audience]. Create an elevator pitch of maximum 30 seconds that highlights the problem, the solution, and the market potential. Use a confident and results-oriented tone."
"You are an expert communicator in simplifying technology. Explain [product/feature] using an analogy with something anyone uses in their daily life. The analogy must be technically accurate but understandable to someone with no technical knowledge."
"Create a comparative table between [my product] and [main competitors]. The columns are the products and the rows are: [feature 1], [feature 2], [feature 3], price, and support. Highlight where my product outperforms the competition."
| Feature | My Product | Competitor A | Competitor B |
|---|---|---|---|
| CRM integration | Native | Plugin | Manual |
| Setup time | 24 hours | 2 weeks | 1 month |
| Spanish support | 24/7 | Limited hours | English only |
"Explain [complex product] as if you were speaking to a curious 10-year-old. Use simple words, examples from school or family life, and avoid any technical terms."
"Summarize [product] in exactly 50 words for a LinkedIn post. Include the problem it solves, the main benefit, and a question to invite comments. Use a professional yet accessible tone."
"Create a 2-minute script for a sales call about [product]. Include: an opening that generates interest, an explanation of the problem we solve, a value demonstration with a specific example, handling of the objection '[common objection],' and a closing with a clear next step."
"Write 5 short WhatsApp messages (maximum 160 characters each) that explain [product] progressively. The first message captures attention, the next three explain key benefits, and the last invites them to a demo."
At Darwin AI, we use prompts like these so our digital employees can explain complex products automatically in WhatsApp conversations, adapting the message to each client’s context.
"Draft an email to announce [new feature] to current customers of [product]. Tone: as if you were writing to a trusted colleague. Structure: what’s new, why it matters to them, how to start using it, and a link to resources."
"Based on [product description], generate the 7 most frequent questions a skeptical prospect would ask. Answer each question in a maximum of 3 sentences. Anticipate objections regarding price, implementation, and results."
"Write the introduction for a success case where [company type] used [product] to solve [problem]. Include the initial challenge, the decision moment, and a teaser of the results without revealing specific numbers. Use an engaging narrative tone."
"Create a script for a 60-second explainer video about [product]. Structure: visual hook in the first 5 seconds, problem in 15 seconds, solution in 25 seconds, benefits in 10 seconds, and a call to action in 5 seconds."
"Describe the process of [using product/solving problem] in 5 visual steps for an infographic. Each step must have: a 3-word title, a 1-sentence description, and a suggestion for a representative icon."
"Structure a 5-slide presentation about [product] for [audience]. Slide 1: impactful problem. Slide 2: solution in one sentence. Slide 3: how it works (3 steps). Slide 4: results or testimonials. Slide 5: next step."
"Create a 7-tweet thread explaining [complex concept related to the product]. Tweet 1: controversial or surprising hook. Tweets 2-6: progressive explanation with one insight per tweet. Tweet 7: conclusion with a subtle mention of [product] as the solution."
"Explain [product] to a development team that will evaluate the integration. Include: high-level architecture, available APIs, tech stack, security considerations, and estimated implementation time. Maintain technical precision while connecting each point to business value."
Base prompts work as templates that we adjust according to the communication channel.
Every platform has its own constraints:
Even if the format changes, the brand voice remains constant. We add a line to each prompt describing our characteristic tone to guarantee coherence across channels.
The CTA varies by channel. In an email, we might ask for a meeting; on social media, for a comment; and in chat, for a quick response.
Generating explanations is only the first step. Measuring their effectiveness allows for continuous improvement.
Tools like Hemingway Editor evaluate the educational level required to understand a text. For general audiences, we aim for a middle-school level.
In sales or support conversations, we measure how much time passes between the explanation and the prospect's next action. Clear explanations reduce this time.
The ultimate indicator is whether better explanations lead to more demo requests, started trials, or completed purchases.
Creating effective prompts is valuable, but executing them manually in every customer interaction is time-consuming. Darwin AI's digital employees automatically implement prompts like the ones we’ve seen in WhatsApp, Instagram, and phone call conversations. The platform adapts explanations to each client's context in real-time and learns from every interaction to continuously refine them.
Try Darwin AI for free and discover how to automate complex product explanations without losing the human touch.
GPT-4 handles more nuanced instructions and maintains context better in long prompts. However, all versions produce effective explanations when the prompt is well-structured with the five key elements.
Replace the bracketed fields with real features, benefits, and use cases of your product. Then, test the result with members of your target audience to validate clarity.
Not entirely. Update the context section with the new functionalities while maintaining the original prompt structure.
RWe recommend testing at least three variations with different analogies or examples. Choose the version that generates the fewest follow-up questions and the most positive responses from your actual audience.