Get answers from your survey results using natural language with One. Instead of reviewing charts and responses manually, you can ask questions about participation, results, trends, and feedback, and One will analyse the survey data for you.
This article explains how to use One to explore survey results, compare survey cycles, summarise feedback, and filter insights for specific groups.
Overview
One can now answer questions about survey results directly from Factorial. You can ask about the survey you're currently viewing or any survey in your account by simply mentioning its name.
One analyses survey responses and provides insights about participation, question scores, trends over time, and open-ended feedback, helping you find answers faster without manually reviewing every result.
When and why it should be used
Use this feature when you want to:
- Quickly understand survey performance and participation rates
- Identify high- and low-scoring questions
- Compare survey results across different cycles
- Analyse trends over time
- Summarise open-ended comments and feedback
- Explore results for specific groups, such as teams, locations, managers, legal entities, job roles, or job titles
- Access survey insights without navigating to the survey itself
How to use
Ask about the survey you are viewing
- Open the survey's Overview page
- Open One
- Type your question in natural language
- Review the answer generated by One
- Example questions:
- What is the response rate?
- Which questions scored lowest?
- What are the main takeaways from this survey?
- Summarise what people wrote about management
Ask about any survey from anywhere in Factorial
- Open One
- Mention the survey by name in your question
- Submit your question
- Review the results provided by One
- Example questions:
- How did the Q1 Engagement Survey go?
- How does this survey compare with the previous cycle?
- What were the most common answers about remote work?
Filter insights for specific audiences
- You can focus your questions on a specific group by including the audience in your request.
- Examples:
- How does the Engineering team rate growth opportunities?
- What feedback did managers receive about communication?
- How did participation compare across locations?
- Supported audiences include:
- Teams
- Locations
- Managers
- Legal entities
- Job roles
- Job titles
If One cannot find the survey, verify that the survey name is correct, try using the complete survey name and confirm that you have permission to view the survey results.
If the answer does not match the audience I expected, include the team, location, manager, legal entity, role, or title in your question and make sure the selected audience exists in the survey data.
If One cannot provide detailed information for anonymous surveys, this is expected behaviour. For anonymous surveys, One only shares aggregated results and does not reveal individual responses.
Tips and best practices
- Ask specific questions to receive more targeted insights
- Use comparison questions to understand changes between survey cycles
- Explore open-ended responses to identify recurring themes and employee sentiment
- Include the audience you want to analyse when looking for insights about a particular group
- If multiple surveys have similar names, use the full survey name for greater accuracy
FAQ
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Can I ask questions about a survey without opening it?
Yes. You can open One from any page in Factorial and ask about a survey by mentioning its name.
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Can One compare survey cycles?
Yes. One can help compare participation, scores, and trends between survey cycles when relevant data is available.
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Can One summarise written comments?
Yes. One can analyse open-ended responses and identify common themes and key takeaways.
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Can I filter results for a specific team or manager?
Yes. You can ask questions focused on teams, locations, managers, legal entities, job roles, or job titles.
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Does One reveal who submitted a response in anonymous surveys?
No. For anonymous surveys, One only provides aggregated insights and never identifies individual respondents.