The workflow for successful prompts :
Exploring a prompt involves a few steps that can help you learn more about the topic at hand and understand it better. Here are some steps you can take to explore a prompt:
- Break down the prompt into smaller, more specific questions: By identifying the key components of the prompt, you can better understand what you need to know and can focus your research efforts.
- Research the topic: Use online sources, such as articles, blogs, and websites, to learn more about the topic and gather relevant information.
- Identify relevant keywords and concepts: Look for words and phrases that are central to the topic and that can help you focus your search for more information.
- Consider different perspectives and viewpoints: Look for information from a variety of sources, including those that may have different viewpoints or approaches to the topic.
- Gather data and evidence: Look for facts, statistics, and examples that can help support your understanding of the topic and can be used to develop your response.
By following these steps, you can better understand the prompt and have a more comprehensive approach to answering it.
A Starting Point
Here are 30 prompts that could be used with a language model like GPT-3 or ChatGPT to help a writer produce a content product review:
- “Write a comparison review of [Product A] and [Product B].”
- “What are the main differences between [Product A] and [Product B]?”
- “What are the key features and capabilities of [Product A] and [Product B]?”
- “How do the pricing and subscription options of [Product A] and [Product B] compare?”
- “What are the pros and cons of using [Product A] or [Product B]?”
- “Which product do you recommend for [target audience] and why?”
- “What are some real-world examples or case studies of companies using [Product A] or [Product B]?”
- “How does the customer support offered by [Product A] and [Product B] compare?”
- “What are the key benefits and drawbacks of using [Product A] or [Product B] for [specific use case]?”
- “How does the user experience of [Product A] compare to that of [Product B]?”
- “What are the most innovative or unique features of [Product A] and [Product B]?”
- “How does the performance of [Product A] and [Product B] compare in terms of [specific metric]?”
- “How easy or difficult is it to set up and configure [Product A] and [Product B]?”
- “What are the integration options for [Product A] and [Product B] with other products or services?”
- “How do [Product A] and [Product B] compare in terms of security and privacy features?”
- “What are the potential drawbacks of using [Product A] or [Product B] in a [specific industry]?”
- “What are the long-term costs of using [Product A] or [Product B] in terms of maintenance and upgrades?”
- “How does the design and aesthetic of [Product A] and [Product B] compare?”
- “What are the scalability options for [Product A] and [Product B] as a company grows?”
- “How do the mobile app versions of [Product A] and [Product B] compare in terms of functionality and usability?”
- “What are the training and onboarding options for [Product A] and [Product B]?”
- “How do the customization and branding options of [Product A] and [Product B] compare?”
- “What are the options for customer support and troubleshooting for [Product A] and [Product B]?”
- “How do [Product A] and [Product B] compare in terms of their impact on the environment and sustainability?”
- “What are the most common problems or issues that users encounter with [Product A] and [Product B]?”
- “How does the pricing model for [Product A] and [Product B] compare for companies with different budgets?”
- “What are the options for data backup and recovery with [Product A] and [Product B]?”
- “What are the key differences in the target audience for [Product A] and [Product B]?”
- “How does the overall user experience of [Product A] compare to [Product B] for someone who is new to the product?”
- “What are the most common issues that users encounter when switching from [Product A] to [Product B], or vice versa?”
You can use these questions to come up with ideas and content for a product comparison review, which you can then edit and revise as needed to make a final draft.
Research the topic
Doing research is a great way to learn more about a topic or prompt and gain a deeper understanding of it. Articles, blogs, and websites are just some of the online resources that can be used to hone in on a specific area of interest.
Finding appropriate keywords and phrases to use in your topic research is a good place to start. These terms can then be used in online databases like JSTOR or LexisNexis, or in general search engines like Google, to locate relevant information. When conducting a search, prioritize information from reputable and authoritative sources like scholarly journals, government sites, and established media outlets.
Take notes on the main points and ideas you find as you read and gather information, and make sure to include the citation information for each piece of data you use. Keeping track of your sources in this way will make it much simpler to cite them later on if you need to do so for your work.
By doing research and gathering relevant information, you can learn more about the topic, which will help you answer the prompt or talk about the topic in a more complete way.
To do in-depth analysis of the content sources you’ve discovered, come to chatGPT. (Be aware of the word count for lengthy papers.) But you can use the excellent data you extract to organize your own work.
You could use a prompt such as “Summarize the main points of the following article: [paste article]” or “Create a brief summary of the following text: [paste text].” This would allow ChatGPT to generate a summary of the text based on the information that has been provided.
- “Identify the main topics covered in the following text and provide a brief summary of each: [paste text]”
- “List the main points made in the following text: [paste text]”
- “Identify any quotes or passages from the following text that stand out to you: [paste text]”
- “What are the positive and negative aspects of the argument presented in the following text: [paste text]”
- “What are the main arguments or points of view presented in the following text: [paste text]”
- “Identify any examples or case studies mentioned in the following text: [paste text]”
- “What are the key takeaways from the following text: [paste text]”
Questions like these can be used to help you get more out of a text and better understand its main points and arguments. Don’t forget that GPT-3 is just a language generation model and has no idea what it’s writing about. Therefore, the analysis it provides may lack the precision and depth of that of a human who has read and comprehended the source material.
Here’s an example from a G2 Review for the n8n SaaS product, with 2.514 words extracted.
As you can see, the information extracted is rich and can be obtained with just a few commands. You can find a ton of ideas if you just let your mind wander.
The next step is to methodically implement them across all of the documents you’ll be reviewing.