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How to Use AI for Market Research: A Beginner’s Course

The AI Research Assistant: Trust-but-Verify Mindset

Quiz: The AI Research Assistant: Trust-but-Verify Mindset

Grounding AI in Real Data: RAG and Prompt Constraints

Quiz: Grounding AI in Real Data: RAG and Prompt Constraints

The Verification Framework: Double-Checking AI Output

Quiz: The Verification Framework: Double-Checking AI Output

Estimating TAM, SAM, and SOM with AI Guidance

Quiz: Estimating TAM, SAM, and SOM with AI Guidance

AI-Powered Competitor Mapping and Gap Analysis

Quiz: AI-Powered Competitor Mapping and Gap Analysis

Analyzing Public Filings and Reports

Quiz: Analyzing Public Filings and Reports

Extracting Themes from Customer Interview Transcripts

Quiz: Extracting Themes from Customer Interview Transcripts

Synthesizing Open-Ended Survey Data at Scale

Quiz: Synthesizing Open-Ended Survey Data at Scale

Detecting Bias and Preventing Outlier Over-Indexing

Quiz: Detecting Bias and Preventing Outlier Over-Indexing

1 of 2

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Quiz: Analyzing Public Filings and Reports

How to Use AI for Market Research: A Beginner’s Course
Analyzing Public Filings and Reports
Quiz: Analyzing Public Filings and Reports

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Question 1 of 3

1. Question

How is Natural Language Processing (NLP) most commonly used by market researchers when analyzing companies’ annual 10-K filings?

To legally certify the financial accuracy of the balance sheet.
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To automate the extraction of key risk factors and management sentiment.
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To predict the exact future stock price using historical tables.
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To generate fake earnings reports for competitive analysis.
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Question 2 of 3

2. Question

Which AI technique is best suited for quickly identifying every mention of a competitor’s product across thousands of pages of corporate regulatory filings?

Named Entity Recognition (NER)
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Generative Adversarial Networks (GANs)
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Image segmentation
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Reinforcement Learning from Human Feedback (RLHF)
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Question 3 of 3

3. Question

When an AI model is applied to an earnings call transcript for market research, what does ‘sentiment analysis’ primarily measure?

The total number of words spoken by the CEO.
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The grammatical correctness of the executives' statements.
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The emotional tone or polarity (positive, negative, neutral) of the language used by executives and analysts.
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The exact dollar amount of quarterly revenue reported.
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