ONE can handle complex organisational analysis with greater depth and efficiency. Beyond answering simple employee questions, it supports multi-dimensional analysis across teams, entities, and HR data areas. In this section, you’ll discover how these enhanced capabilities help you generate deeper insights and make more informed decisions.
Overview
ONE supports advanced organisational analysis across multiple data sources, allowing you to ask structured, analytical questions in natural language.
Capabilities include:
- Multi-dimensional business analysis
- Fast execution of complex queries
- Cross-data insights (Performance + Time Off + Compensation)
- Structured outputs with grouped and aggregated metrics
This allows you to move from basic employee-level answers to strategic, organisation-wide insights.
When and why it should be used
Use ONE when you need:
- Team or legal entity breakdowns
- Cross-functional analysis (e.g., performance and salary together)
- Aggregated metrics such as averages, percentages, or rankings
- Historical comparisons (e.g., year-over-year growth)
- Strategic workforce insights for leadership reporting
It is especially helpful during performance reviews, compensation cycles, workforce planning, and headcount analysis.
How to use
- Open ONE in your Factorial platform
- Enter your question in natural language
- Include relevant details such as time frame, team, legal entity, or metric
You can ask questions such as:- “For each legal entity and team, show employee count, team leads, March birthdays, and average salary”
- “Which employees earn below their team’s average salary?”
- “Which team grew the most this year vs last year?”
- “What percentage of each team are managers?”
- “Which employees had approved time off last quarter and scored below 3?”
- “How many employees have been 2+ years without salary changes?”
- ONE will automatically:
- Group data by multiple dimensions (e.g., entity × team)
- Calculate averages and percentages
- Compare employees against their own team baseline
- Cross-reference data across modules
- Use full contract history when relevant
- Review the structured answer provided
- Refine your question if you need additional breakdowns or comparisons
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If the answer is too general, add more detail to your question, such as time frame, team, or metric.
If the data seems incomplete, check that the relevant modules (performance, time off, compensation) contain updated information.
If the calculation differs from your report, confirm whether you are comparing team-level vs company-wide data, and whether historical data is included.
If discrepancies continue, contact Support and share the exact query used.
Tips and best practices
- Specify clear time periods (e.g., “Q1 2025” instead of “recently”)
- Clarify comparison context (team average vs global average)
- Ask follow-up questions to refine or rank results
- Break large analytical requests into smaller steps if needed
- Use it to prepare reports for leadership or internal reviews
FAQ
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Can ONE compare employees within the same team?
Yes. It can calculate team-specific baselines and compare individuals accordingly.
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Can it analyse historical salary data?
Yes. It uses contract version history, not only current salary values.
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Does ONE calculate percentages automatically?
Yes. It can compute ratios such as (managers / total employees) × 100 per team.
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Can it rank teams or employees?
Yes. It can calculate differences (for example, headcount growth) and rank results.