Top ChatGPT Deep Research Workflows to SAVE HOURS at Work!

OpenAI's Deep Research Workflows for ChatGPT

Introduction to Deep Research Features

• OpenAI has made deep research capabilities available to the ChatGPT Plus plan, allowing users to perform 10 deep research queries monthly without needing a premium subscription.

• Users can initiate deep research by clicking the designated icon, which tracks remaining queries and resets every 30 days from the first use.

Effective Use of Deep Research

• The quality of the final report is influenced by the specificity of the prompt; vague prompts may lead to truncated reports due to output limits.

• It’s crucial to specify word count in prompts; otherwise, lengthy reports may be cut off, as experienced with a 16,000-word report that was incomplete.

Workflow: Building an Intelligence Database

• The first workflow involves creating an intelligence database, significantly reducing data collection time from over 30 hours to about one hour using deep research.

• For example, a product manager can request a competitive analysis on top SEO software by specifying details like funding history and tech stack within a defined word limit (5,000 words).

Compiling and Organizing Data

• After initiating research, it typically takes around 10–15 minutes for ChatGPT to compile sources. A recent report utilized 42 sources including reputable sites like Wikipedia and TechCrunch.

• To build a structured database in tools like Notion or Airtable, users can export insights into CSV format and import them into their workspace for better organization.

Updating and Sharing Insights

• The organized database allows continuous updates with new data through CSV imports. This feature is beneficial for tracking competitor information and other relevant metrics.

Workflow: Creating Presentations Efficiently

• Another powerful application of deep research is streamlining presentation creation. By combining AI tools with deep research outputs, users can save significant time when preparing decks for stakeholders.

• For instance, researching technology trends in financial services can yield comprehensive reports covering multiple subtopics after answering clarifying questions during the process.

Conclusion on Best Practices

Presentation Tools and Strategic Decision Making

Building a Presentation Deck

• Two options for creating a presentation deck:

• Use an executive presentation in PowerPoint format that highlights key insights, which can be customized later.

• Utilize Gamma AI to quickly convert sources into ready-to-use slides.

• To use Gamma AI:

• Copy the response from your research and paste it into Gamma AI.

• Select "create new," choose "paste in text," and then select "presentation" for further editing.

• After pasting the content, you can choose themes and styles.

• The presentation is generated within a minute, automatically structuring the deep research report into visually appealing slides.

• Presentations can be exported in various formats (PDF or PowerPoint), making it easy to modify as needed.

• This tool is ideal for quickly creating attractive slides using publicly available data without extensive customization.

Strategic Decision Making

• The primary value of deep research lies in its ability to provide insights that inform decision-making.

• Deep research should not be the endpoint; it must be combined with reasoning models for effective strategy recommendations.

• Example scenario: Evaluating potential expansion into Malaysia's healthcare tech market requires comprehensive analysis through deep research.

• A prompt is used to gather information on market size, growth rates, key players, and regulations.

• Research duration: Eight minutes using twenty sources primarily from consulting data and government websites.

• Key findings include market growth breakdown by segments, details on major players, regulations, and barriers to entry.

Utilizing Reasoning Models

• After gathering data about the healthcare tech brand entering Malaysia:

• Use reasoning models (e.g., O3-mini version) to recommend market entry strategies based on collected insights.

• The model provides strategic suggestions along with rationale and identifies significant risks involved.

• Follow-up questions enhance the quality of recommendations by providing additional context.

Organizing Insights with Notion

• Bonus feature: Save reports and insights directly to Notion using a Chrome plugin called "Chat to Notion."

• This allows users to keep organized records of their deep research findings effortlessly.

• Once installed, users can select pages for access permissions within Notion databases (e.g., Market Research Analysis).

• The plugin saves full chat histories including prompts used during research sessions while maintaining most formatting integrity.

Knowledge Visualization Techniques

• Introduction of NotebookLM’s mind map feature enhances learning through knowledge visualization.

• Users can combine ChatGPT's deep research capabilities with this feature for intuitive learning experiences across various subjects.

• For example: A beginner in UX design uses deep research prompts to compile essential information about core principles, methodologies, resources, and tools related to UX design.

Design Lab Overview

Key Features of Design Lab

• Design Lab effectively covers essential topics in UX design, breaking down core subjects and providing a comprehensive resource section.

• The resource section includes tools, recommended courses, bootcamps, books, communities, and career tips specifically for UX design.

Creating a Learning Project

• Users can create a new notebook titled "UX Design Learning" on NotebookLM to compile their research findings.

• Additional resources related to the subject can be imported into the notebook for enhanced learning.

Utilizing Mind Maps

Generating Visual Representations

• A mind map can be generated quickly to visualize core concepts, relationships, and hierarchies within the subject matter.

• Users can expand nodes in the mind map to explore key subtopics further and initiate discussions about them.

Benefits of Mind Mapping

• The mind map view enhances organization and engagement in learning processes.

• Users have the option to export the mind map as an image for future reference.

Interactive Customer Simulation

Audience Research Application

• An interactive customer or audience simulator workflow is introduced as a powerful tool for conducting audience research efficiently.

• This feature is beneficial for product marketers, managers, or UX designers seeking quick insights into target customers.

Building Custom GPT Models

• Users can create custom GPT models based on audience research findings to test design and marketing messaging effectively.

Conducting Audience Research

Gathering Insights from Real Customers

• By activating deep research on ChatGPT, users can gather authentic customer feedback regarding home interior design services from platforms like Reddit and Quora.

Analyzing Research Findings

• The report summarizes key pain points and decision-making factors such as budget considerations and trust issues that influence customer choices.

Creating Custom GPT Models

Steps to Build Your Model

• After compiling audience research data into a document or PDF file, users proceed to build their custom GPT by clicking "Explore GPT" then "Create."

Configuring Your Custom Model

• Users are guided through attaching their audience research report while configuring settings like model name and product image.

Testing Messaging with Simulated Feedback

Engaging with Target Audience Perspectives

• Once deployed, users can ask questions about existing designs or marketing materials; simulated responses provide valuable feedback reflecting real customer sentiments.

Improving User Experience

• The simulation offers suggestions for enhancing user experience based on common queries from potential customers regarding service offerings.

Finalizing Your Custom Model

Publishing Your Work

• When satisfied with the model's performance after testing it against various scenarios, users can publish it for ongoing use.

Updating Knowledge Base