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What is ChatGPT?

ChatGPTIt is a general-purpose AI assistant launched by OpenAI that can engage in continuous conversations involving text, documents, images, and speech, helping users research information, write content, analyze data, and create visual materials. It is best viewed as a collaborative workspace for iterative work: first, specify your goal; then, provide materials; request a draft or analysis results; and finally, continue refining the output to address specific issues.

OpenAI was founded in 2015 and has been engaged in research and product development related to artificial intelligence models. ChatGPT was launched inLaunched as a research preview on November 30, 2022, Initially based on the GPT-3.5 series of models, it focuses on understanding prompts and answering follow-up questions through dialogue. ChatGPT is an application, while the GPT series refers to the underlying models; the release dates and version names of the two should not be confused.

Subsequent iterations gradually expanded the ways users could work with the platform: In October 2024, the Canvas editing workspace was launched, and ChatGPT Search was released that same month; in February 2025, In-Depth Research was introduced, consolidating multi-round searching, reading, and synthesizing information into a single research task. For ordinary users, these changes mean they can choose between conversation, editing, search, or research depending on the task, rather than having to frame all their needs as a single standard question-and-answer exchange.

Key Features of ChatGPT

Writing and Canvas: Iterative Revisions on a Single Draft

ChatGPT can draft articles, organize outlines, explain concepts, and translate or rewrite existing text. Providing the target audience, purpose, verified facts, and expression constraints helps ensure the content is tailored to its intended use. When lengthy texts or code require repeated revisions, Canvas provides a separate editing area where users can select a specific section and request changes, avoiding the need to regenerate the entire document each time. It is also well-suited for checking paragraph logic, standardizing terminology, or addressing specific issues within code.

Document and Data Analysis: Presenting Computational Processes and Results Together

After uploading files such as Excel, CSV, or PDF documents, you can extract information, compare content, aggregate fields, or generate charts. Data analysis can use Python to perform data cleaning and calculations, and provides the code used in the analysis process for review. For operational reports, questionnaires, and lab records, the original tables are generally more suitable than screenshots: clearly label the column names in the first row, ensure each row corresponds to a single record, and maintain consistency in dates, currencies, and units of measurement. However, the extraction results for scanned documents containing numbers, multi-page tables, and complex layouts require special verification.

Search and In-Depth Research: Choosing an Entry Point Based on the Scope of the Problem

Use the search function to look up a recent fact or quickly find a source, such as the official description of a product’s features. In-depth research is suitable for tasks that require comparing multiple sources, analyzing discrepancies, and compiling a report—such as researching different technological approaches within an industry. Research can incorporate background documents provided by the user; before beginning, clearly define the geographic scope, time frame, source requirements, and the ultimate research question. Citing links allows readers to trace the sources, but they should still verify whether the original text truly supports the conclusions.

Images, Audio, and Long-Term Projects

The image feature can understand photos, screenshots, and charts, as well as generate or modify images based on descriptions, making it ideal for exploring visual elements, interface sketches, and visual direction. Voice Mode is ideal for verbal discussions, speaking practice, and Q&A sessions when typing is inconvenient. Projects brings together related conversations, files, and project instructions, making it easy to maintain content on a single topic over time—for example, preparing presentations, FAQs, and training materials for a set of product documentation. Image creation, verbal discussions, and project management serve different stages of the workflow and can be combined as needed.

What scenarios is it suitable for?

• Operations and Analytics:Identify trends, anomalies, and issues requiring further investigation from the transaction details, then compile the findings into a report. This approach is suitable for tasks involving real data where the statistical criteria need to be clarified.
• Content and Product Work:Draft the documentation using the confirmed product information, revise it iteratively in Canvas, and use images to discuss the visual direction as needed.
• Research and Learning:First, explain unfamiliar concepts, then look up sources and compare different viewpoints; while studying, you can also have it point out any missing conditions based on your own problem-solving process.
• Code and Technical Communication:Provide a minimal code example, error messages, and expected results, and discuss the causes and solutions. The generated code should still be tested in a real-world environment, with particular attention paid to dependencies, permissions, and boundary cases.

How to Use ChatGPT to Complete a Sales Analysis

Using “Compiling Sales Details into a Monthly Report” as an example, the following illustrates the complete process from inputting data to reviewing the results.

1. Prepare the documents for calculation.Retain essential fields such as order date, product, region, sales, and refunds, and remove irrelevant personal information. Indicate whether each row represents an order or an item within an order, and whether the amount includes tax.
2. First, confirm the meaning of the data.After uploading the file, the system prompts: “Please first list the worksheets, fields, date ranges, missing values, and duplicate records; do not draw any business conclusions at this time.” Check whether it has read the correct data range, correct any misunderstandings, and then proceed with the calculation.
3. Specify the analysis scope.For example: “Calculate monthly sales, refunds, and net sales—where net sales equals sales minus refunds—and break down the data by product. List the calculation rules; if you encounter a missing value, mark it first; do not fill in the value yourself.” The output must include both a summary table and a trend chart.
4. Key results of the spot checks.Select a month or product and recalculate using the source data; check the sign of refunds, date filters, and duplicate orders. If the numbers do not match, correct the calculations first before discussing the cause. Even if sales fluctuations coincide with promotional periods, this is not sufficient to directly prove a causal relationship.
5. Produce usable results.Please compile the verified results into a briefing document organized under the headings “Key Findings,” “Evidence,” “Issues to Be Confirmed,” and “Next Steps,” and download any data or charts that need to be retained. When continuing the analysis later, you can place the verified materials and criteria into the same project.

How to Choose Between ChatGPT and Similar Assistants

When it comes to “organizing materials into deliverable work products,” ChatGPT, Claude, and Gemini are all comparable. The key considerations are where the materials are located, what changes need to be made, and what the final output should be.

These are differences in how the products work and cannot replace a quality check on actual tasks. You can compare results using the same de-identified data and the same requirements, focusing on whether any items were omitted, whether the basis for decisions can be traced, whether new errors were introduced after modifications, and whether the exported results can still be used.

You can get started via the website or the official client. Permissions and usage limits for models, file uploads, research, and image tools vary by plan; seeOfficial Solution Description. Before uploading important materials, check the data controls and your organization's requirements; when sharing items, also confirm which files and conversations are visible to members.