Scenarios › Marketing

Social Brand Sentiment Analysis

Analisi brand sentiment social · Marketing · Beginner · 100 XP

The user must analyze brand sentiment data from social media over the past 6 months, identify key topics driving positive and negative perception, and produce a report with actionable recommendations for the marketing team.

Write the prompt you would give any AI (ChatGPT, Claude, Gemini, Copilot) to solve this real workplace scenario. Grace evaluates it in seconds across 7 dimensions: Role, Context, Objective, Constraints, Format, Audience, Efficiency: with a 0-100 score and coaching feedback. Your first 5 evaluations each day are free.

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Frequently asked questions

What is the "Social Brand Sentiment Analysis" scenario on Grace?

The user must analyze brand sentiment data from social media over the past 6 months, identify key topics driving positive and negative perception, and produce a report with actionable recommendations for the marketing team. It is a beginner-level Marketing training scenario: you write the prompt you would give an AI to handle this situation, and Grace scores it from 0 to 100 with coaching feedback.

Is this scenario part of a learning path?

It is a standalone exercise you can play anytime; Marketing learning paths on Grace group related scenarios into a structured progression toward certification.

How is my prompt evaluated on "Social Brand Sentiment Analysis"?

Grace analyzes your prompt across 7 dimensions (Role, Context, Objective, Constraints, Format, Audience and Efficiency) and returns a 0-100 score, a percentile against other players and specific coaching feedback in about 10 seconds.

Which AI tools does this scenario work with?

All of them. You train the prompt, and a great prompt works with ChatGPT, Claude, Gemini, Copilot, Mistral or any model your company uses: the 7 dimensions are model-independent.

What should a strong prompt for this scenario include?

Assign the AI a precise role, give the key facts of the situation, state a verifiable objective, declare constraints (length, tone, what to avoid), and ask for the exact output format you need. Grace scores each of these elements separately.

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