Who should use the Identify market trends workflow?
Teams or solo builders working on business tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pagePredict Market Trends
Use predictive analytics to forecast upcoming market trends based on historical data and industry signals, setting a solid foundation for trend identification.
Why this matters
Predicting market trends provides a directional hypothesis, reducing noise and focusing subsequent analysis on the most promising areas.
What you get
Outputs a set of predicted trends with supporting data, ready for validation against real-world sentiment.
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2Input · Step 2 of 4
Open task pageAnalyze customer sentiment
Gather and analyze customer sentiment from social media, reviews, and feedback to understand current perceptions and unmet needs.
Why this matters
Customer sentiment reveals shifts in preferences and dissatisfaction, directly highlighting emerging trends and validating predictions.
What you get
A sentiment report summarizing positive, negative, and neutral themes, correlated with predicted trends.
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3Core · Step 3 of 4
Open task pageIdentify market trends
Leverage trend intelligence tools to scan industry data, social listening, and market signals to pinpoint specific, actionable trends.
Why this matters
This step directly executes the primary goal, converting raw data and predictions into a concrete list of market trends.
What you get
A curated list of top market trends with evidence, impact analysis, and potential business opportunities.
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4Deliver · Step 4 of 4
Open task pageGenerate business reports
Synthesize findings from all previous steps into a polished, shareable business report with visualizations and strategic recommendations.
Why this matters
Transforms analytical outputs into an executive-ready format, ensuring the trends are actionable and easily communicated to stakeholders.
What you get
A finalized market trends report ready for presentation, including key insights, data sources, and recommended next steps.
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