
Introduction TO CITE™
Time is a precious asset.
Extracting essential information efficiently is crucial in today’s fast-paced world, whether you’re a student looking to grasp the main points of a textbook or a professional seeking to stay informed amidst a sea of articles.
That’s why I invented the CITE™ framework—a powerful approach for generating book and article summaries.
In this blog post, I’ll share what CITE™ is, why it’s valuable, and how you can leverage ChatGPT and Bing Chat to harness its benefits.
What is CITE™?
CITE™ stands for Concepts, Information focused on data and statistics, Tools, and Examples.
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Concepts: Core ideas and main themes are distilled into concise points.
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Information focused on data and statistics: Valuable data, studies, and statistics supporting the author’s claims.
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Tools: Practical applications, frameworks, and methodologies introduced by the author.
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Examples: Concrete instances and case studies that illustrate the concepts discussed in the text.
Now, let’s delve into each pillar of the CITE™ framework in detail to understand how they contribute to effective book and article summarization.
Concepts
The first pillar of my CITE™ framework is concepts.
When summarizing a book, it’s essential to identify its core ideas and main themes. By distilling a book’s concepts into concise points, readers can quickly grasp the key takeaways. Here are some tips:
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Start by skimming through the book to get a sense of its structure, chapter titles, and subheadings.
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Pay attention to recurring ideas and concepts that are central to the author’s argument.
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Jot down these concepts and their supporting details.
Once you have a comprehensive list, organize and condense the concepts into a coherent summary.

Information Focused on Data and Statistics
The second pillar of CITE™ focuses on information focused on data and statistics.
Many books contain valuable data, studies, or statistics that provide evidence or support the author’s claims. These pieces of information are often critical for understanding the book’s argument and forming a comprehensive summary.
When applying CITE™, identify the data-driven aspects of the book. Look for charts, graphs, or numerical figures that highlight trends or key findings. Extract and condense this information into your summary, ensuring that it captures the essence of the data presented.

Tools
The third pillar of CITE™ emphasizes the tools featured in the book.
Books frequently introduce tools, frameworks, or methodologies that offer practical applications or unique perspectives. Identifying and summarizing these tools can be immensely valuable for readers seeking actionable insights.
Pay attention to any techniques, frameworks, or models mentioned in the book. Describe these tools concisely in your summary, highlighting their purpose and potential benefits. By including these tools in your summary, you equip readers with actionable knowledge they can apply in relevant contexts.
Examples
The final pillar of CITE™ is examples.
Concrete examples and case studies can illuminate the concepts and arguments discussed in a book, making them more relatable and understandable. Look for anecdotes, real-world scenarios, or historical events mentioned in the book. These examples often serve as evidence or illustrations of the concepts being presented.
Choose a few impactful examples that effectively convey the author’s message and include them in your summary. By including relevant examples, you provide readers with a tangible understanding of the book’s content.
Utilizing ChatGPT and Bing Chat
Here’s the structured prompt I use to get ChatGPT to summarize books using CITE™:
Please summarize book [book name] focusing on these items:
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Concepts -
Information focused on data and statistics -
Tools -
Examples
This prompt is particularly ideal for Bing Chat.
Or if I want to get fancier, you can include in the prompt that you want to use relevant headings or bullets, formatted in markdown. It’ll make it easier to read:
Please summarize the book, [book name], focusing on these items, using appropriate headings and bullets with markdown:
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Concepts -
Information focused on data and statistics -
Tools -
Examples
This one doesn’t work as well with Bing but does work very well with ChatGPT.
Conclusion
The CITE™ framework is a powerful approach for summarizing books and articles.
When combined with the capabilities of ChatGPT and Bing Chat, users can generate concise summaries tailored to their needs. I generated a detailed example below.
With the CITE™ framework and AI technology, busy individuals can navigate vast amounts of information and access key insights quickly. Embrace CITE™ and unleash the power of AI to unlock a world of knowledge at your fingertips.
Example of using THE CITE™ prompt
I used CITE with this Bing Chat query, and here’s what it generated:
Here is a summary of Decode and Conquer by Lewis C. Lin based on the items you requested:
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Concepts: Decode and Conquer is a book that teaches readers how to ace product management interviews by using a structured and systematic approach. The book introduces three frameworks for answering different types of questions: CIRCLES for product design questions, AARM for product improvement questions, and DIGS for product strategy questions. The book also provides tips and examples for tackling estimation, behavioral, and analytical questions.
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Numbers: Decode and Conquer was published in 2013 and has sold over 50,000 copies worldwide1. It is based on the author’s experience as a former Google product manager and a leading interview coach who has helped thousands of candidates land jobs at top tech companies such as Amazon, Facebook, Microsoft, and Uber2. The book has received over 500 reviews on Amazon with an average rating of 4.4 out of 5 stars3.
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Tools: Decode and Conquer provides three frameworks for answering product management interview questions:
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CIRCLES: This framework helps candidates structure their answers for product design questions, which ask them to come up with a new product or feature idea. The framework consists of seven steps: Comprehend the situation, Identify the customer, Report the customer’s needs, Cut through prioritization, List solutions, Evaluate trade-offs, and Summarize your recommendation.
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AARM: This framework helps candidates structure their answers for product improvement questions, which ask them to identify and solve a problem with an existing product or feature. The framework consists of four steps: Analyze the situation, Address the root cause, Recommend a solution, and Monitor the results.
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DIGS: This framework helps candidates structure their answers for product strategy questions, which ask them to evaluate a market opportunity or a business decision. The framework consists of four steps: Define the goal, Identify the options, Generate pros/cons for each option, and Select the best option.
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Examples: Here are some examples of how Decode and Conquer can be applied in different scenarios:
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A product design question: How would you design a smartwatch for elderly people? Using the CIRCLES framework, a candidate could answer as follows:
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Comprehend: I would first clarify the scope and objective of the question. For example, I would ask who are the target users, what are their main pain points or needs, what are the key features or functions they expect from a smartwatch, and what are the success metrics or criteria for evaluating the design.
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Identify: Based on the information given or assumed, I would identify the customer segment and persona for the smartwatch. For example, I would assume that the target users are elderly people who live independently or with their families, who have some health issues or concerns, who value convenience and safety, and who are not very tech-savvy or familiar with smart devices.
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Report: Based on the customer segment and persona, I would report the customer needs or problems that the smartwatch should address. For example, some of the needs or problems could be monitoring their health conditions, tracking their daily activities or routines, staying connected with their loved ones or caregivers, receiving timely alerts or reminders, and accessing emergency services or assistance.
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Cut: Based on the customer’s needs or problems, I would prioritize the most important or urgent ones that the smartwatch should solve. For example, I would use a framework such as MoSCoW (Must have, Should have, Could have, Won’t have) or ICE (Impact, Confidence, Ease) to rank the needs or problems based on their value and feasibility.
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List: Based on the prioritized needs or problems, I would list some possible solutions or features that the smartwatch could offer. For example, some of the solutions or features could be a heart rate sensor, a step counter, a GPS tracker, a voice assistant, a panic button,
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Evaluate: Based on the possible solutions or features, I would evaluate their trade-offs in terms of benefits and costs. For example, some of the benefits could be improving user health, well-being, convenience, safety, and satisfaction, while some of the costs could be increasing device complexity, power consumption, price, and maintenance.
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Summarize: Based on the trade-off analysis, I would summarize my recommendation for the smartwatch design by highlighting its main features, benefits, and differentiation from competitors.
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A product improvement question: How would you improve Netflix’s recommendation system? Using the AARM framework, a candidate could answer as follows:
Analyze
I would first analyze the current situation by gathering data and feedback on Netflix’s recommendation system.
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For example, I would look at metrics such as:
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Click-through rate
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Conversion rate
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Retention rate
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Churn rate
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Customer satisfaction score
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I would also conduct user research such as:
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Surveys
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Interviews
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Focus groups
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This research would help me understand user behavior, preferences, expectations, and pain points.
Address
Based on the analysis, I would identify the root cause of any problem or gap that Netflix’s recommendation system has.
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For example, one possible problem could be that Netflix’s recommendation system does not account for user mood, context, or social influence, which could affect user choice and satisfaction.
Recommend
Based on the root cause, I would recommend a solution or improvement that Netflix’s recommendation system could implement.
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For example, one possible solution could be to add a feature that allows users to select their mood, context, or social group before browsing content recommendations. This way, Netflix’s recommendation system could tailor its suggestions based on these factors and increase user engagement and loyalty.
Monitor
Based on the solution or improvement, I would monitor its impact and performance by measuring relevant metrics and feedback.
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For example, I would track metrics such as:
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Click-through rate
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Conversion rate
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Retention rate
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Churn rate
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Customer satisfaction score
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I would also collect user feedback such as surveys, interviews, and focus groups to validate user satisfaction and identify any issues or opportunities for further improvement.
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