EN
OpenAI has recently made its deep research capabilities available to the ChatGPT Plus plan. Even without subscribing to the premium $200 plan, users can access 10 deep research queries each month, with expectations for this limit to increase over time. This article explores five effective workflows utilizing ChatGPT's deep research feature, beneficial for marketers, product managers, analysts, and consultants, transforming extensive tasks into efficient processes.
To begin deep research, users simply need to activate the deep research icon, which displays the remaining queries and resets every 30 days from the first use. The system prompts for clarifying questions before commencing the research process, with each complete report counting as one usage. It's advisable to refine research directions through these questions, as they enhance context. Specifying the desired word count is crucial to avoid report truncation, which can significantly extend the time needed for generating comprehensive reports.
One of the first workflows involves creating an intelligence database. For professionals like product marketers and analysts, gathering and structuring data can be time-consuming. However, with OpenAI's deep research, this process can be condensed from over 30 hours to just an hour of setup and review. For instance, a product manager seeking to analyze the competitive landscape of SEO software can prompt ChatGPT to generate a detailed competitive analysis, ensuring the report remains within a specified word count to avoid truncation.
Deep research can also streamline the process of creating presentation decks. By leveraging AI presentation tools alongside deep research, users can save significant time. For example, when researching technology trends in the financial services industry, ChatGPT can compile a comprehensive report that can then be transformed into a presentation deck. Users can choose to create an executive presentation in PowerPoint format or utilize AI tools like Gamma AI to generate visually appealing slides quickly.
The true value of deep research lies in its ability to provide insights that inform strategic decision-making. By combining deep research with reasoning models, users can derive actionable recommendations. For instance, when evaluating market expansion strategies, a product manager can prompt ChatGPT to analyze the healthcare tech market in Malaysia. The insights gained can then be used to formulate a market entry strategy, highlighting potential risks and considerations.
Knowledge visualization is another powerful application of deep research. By integrating tools like NotebookLM, users can convert research findings into visual mind maps, enhancing learning and comprehension. For example, a beginner in UX design can prompt ChatGPT to gather essential information about the field, which can then be visualized in a mind map format, making it easier to understand core concepts and relationships.
Deep research can also facilitate audience research by simulating customer interactions. Marketers and product managers can utilize ChatGPT to gather insights on customer sentiments and preferences. For instance, a marketer for a home interior design service can prompt ChatGPT to analyze customer discussions across platforms like Reddit and Quora. The insights gained can then be used to create a custom GPT that mimics target customer feedback, providing valuable input for refining marketing strategies.
These workflows demonstrate how OpenAI's deep research capabilities can significantly enhance productivity and decision-making across various professional domains. By implementing these strategies, users can save time and improve the quality of their work. Continuous exploration and enhancement of these workflows will further optimize their effectiveness, encouraging users to share insights and improvements within their professional communities.
Q: What is OpenAI's deep research feature?
A: OpenAI's deep research feature allows users to access advanced research capabilities through the ChatGPT Plus plan, enabling them to conduct in-depth queries and generate comprehensive reports.
Q: How can I initiate deep research?
A: To initiate deep research, activate the deep research icon, which shows your remaining queries. The system will prompt you for clarifying questions to refine your research directions before starting the process.
Q: How can deep research help in building an intelligence database?
A: Deep research can significantly reduce the time needed to gather and structure data for an intelligence database, condensing the process from over 30 hours to just an hour of setup and review.
Q: Can deep research assist in creating presentation decks?
A: Yes, deep research can streamline the creation of presentation decks by compiling comprehensive reports that can be transformed into visually appealing slides using AI tools.
Q: How does deep research support strategic decision-making?
A: Deep research provides insights that inform strategic decision-making by combining research findings with reasoning models to derive actionable recommendations.
Q: What are knowledge visualization techniques in deep research?
A: Knowledge visualization techniques involve converting research findings into visual formats, such as mind maps, to enhance understanding and comprehension of complex information.
Q: How can deep research facilitate audience research?
A: Deep research can simulate customer interactions to gather insights on customer sentiments and preferences, helping marketers refine their strategies based on real customer feedback.
Q: What are the future enhancements expected for deep research?
A: Future enhancements for deep research may include increased query limits, improved workflows, and additional tools to further optimize productivity and decision-making across various professional domains.