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- How To Use myEDITED
- Research
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How To Use myEDITED
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Interactive Tutorials
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How To Use EDITED Market
- Getting Started With Competitive Market
- Building & Managing Competitive Market Workbooks
- Using Competitive Market Workbook Filters
- Competitive Market Workbook Advanced Filtering
- Competitive Market Analysis Types: Analyzing Products In Workbooks
- Competitive Market Analysis In Practice
- Classic Competitive Market Dashboards
- Lists
- How Does EDITED Competitive Market Work?
- Sharing EDITED Data
- Market: Understanding Terminology & Methodology
- Frequently Asked Questions
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How To Use EDITED Digital & Omni
- Getting Started: Navigation & Administration
- Getting Started: Control Panel
- Analysis Types: Dashboards
- Analysis Types: Insights
- Analysis Types: Opportunities (Decision Trees)
- Analysis Types: Opportunities (Action Impact)
- Analysis: Opportunities (Product Badges)
- Analysis Types: Basket Analysis
- Analysis Types: Tasks
- Getting Started: Using Charts
- Getting Started: Exporting, Sharing, Saving & Downloading
- EDITED Digital/Omni FAQ
- EDITED Digital/Omni Data Sources
- DynamicAction Glossary
- Release Notes Archive
- Additional Administration
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How To Use EDITED API
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Webinars
How Can I Improve My Search Results In Research Assistant?
It’s important to be specific and detailed with your queries to get the most relevant and accurate responses from the Research Assistant. The more context you provide, the better the Assistant can tailor the results.
Include a specific timescale, gender, and category:
- Vague: What’s trending in retail over the last month
- Specific: What are the top-selling women’s outerwear trends for Fall 2025 in the UK market?
- Vague: Tell me about holiday sales this year.
- Specific: What were the key messaging and promotional themes from Black Friday campaigns in 2024.
- Vague: What colors should I be investing in next year?
- Specific: What are the key colors I should be investing in for spring/summer 2026 womenswear.
Click the thumbs-up or thumbs-down icons to let us know if this was a good response or a bad response- This helps us train our AI model!
Information returned is from the Research articles only.