Data Requirements

What are the prerequisites for Market Insights?

• Market Insights is an exploration tool with no prerequisites. Customers only need to select a benchmark industry to begin.
• For role and skill framework updates, Roles Design and Skills Design must be enabled.
• Roles (also known as JIE) must include accurate information such as job_title, job_code, business_unit, job_function, and job_level for generating Future Readiness and skill recommendations.

Features and customer journey

What are the features of Market Insights?

Market Insights benchmarks your organization against industry trends, offering insights into common and emerging roles and skills. Key features include:

• Industry Exploration: Explore common and fastest-rising roles and skills. Filter by global trends and presence.
  • View role-specific skills and adjacent skills for added insights.
  • Identify whether roles already exist within your organization.
• Role Exploration: Analyze common and emerging skills for specific roles. Access related roles to enhance your library.
• Skill Exploration: Click on any skill to view trends, presence, adjacent skills, and other related data.
• Add Role to Review: Add draft roles for calibration and skill adjustments.
• Skill Prevalence Benchmarking: Compare skill prevalence in similar industry roles.
• Future Readiness: Assess a role’s potential based on skill dynamics.

What is the output of Market Insights?

Market Insights produces dynamic, skills-based roles for all job families. Market data informs these roles and is designed to remain current with evolving trends.

How does Market Insights help define and update skill frameworks for roles?

• Use the Roles Calibration Page to view recommended skills.
• Access the Skills Recommendation Modal to:
  • Review mapped skills and the Future Readiness.
  • Gain insights from:
    • Employee data (if available).
    • Benchmark industries.
    • Global fastest-rising skills.
  • Add trending skills and remove declining ones.
• Alternatively, click View Recommended to add skills in one step and assess the impact on Future Readiness.

What steps should I follow to update roles using Market Insights?

1. Upload Roles:
   • Upload roles with skills data to calculate Future Readiness.
   • Note: Roles without enough skills data (at least 10 skills with trends) can't generate Future Readiness.
2. Define Skills Taxonomy:
   • Check internal skills and compare them with market trends.
   • Employee data improves decision-making if uploaded.
3. Explore New Roles:
   • Identify and add top or rising roles to your job architecture.
4. Define Proficiencies:
   • Use role comparison to set skill proficiencies.
   • Version roles for downstream applications.

What’s the difference between Most Common Skills with Rising Global Trend and Fastest Rising Skills?

• Most Common Skills: Sorted by presence, showing their prevalence in profiles or positions.
• Fastest-Rising Skills: Identified based on a trend score, reflecting rapid growth. Skills with high trend scores but low presence (For example, "Machine learning") appear here rather than in the common list.

Market Insights Data

What data powers Market Insights, and how often is it refreshed?

• A dataset of 1B+ anonymized career trajectories, 1M+ skills, and 750K roles trains the AI for skills and role insights.
• A representative data set is refreshed biannually, offering dynamic views of talent supply.

Note: This dataset is anonymized and aggregated. Individual companies or people can't be identified.

Is my data informing the dataset?

• Only aggregated, anonymized learnings inform the dataset. Individual profiles or career trajectories aren't accessible.
• Customers can access insights from their talent networks, but not other organizations.

Future Readiness

What is Future Readiness, and how is it measured?

Future Readiness evaluates a role’s resilience and adaptability, rated on a scale of 0–100%:

• 60–100%: Highly resilient and in demand.
• 40–60%: Stable, with moderate resilience.
• Below 40%: Vulnerable to disruption and obsolescence.

Usage: Organizations can refine skills taxonomies, make informed hiring decisions, and strategize workforce planning based on Future Readiness.

Platform intelligence and data freshness

How does Eightfold ensure platform intelligence stays current?

Supply-side:

• Eightfold's AI models have been trained on over a billion career paths, a million skills, and 750K unique roles.
• The platform is moving away from automatic public profile ingestion to manual LinkedIn profile uploads via LinkedIn CRM Connect.
• New skills and titles will be learned from aggregated, anonymized EF Talent Network profiles as they enter the market.

Demand-side:

• AI models are refreshed using public career pages, census data, and job boards.
• New skills and titles are learned from demand data as they appear.

Selecting benchmark industry

How can admins change the benchmark industry?

Admins can update the benchmark industry by navigating to Admin Console > Market Insights Config and selecting the desired industry from the dropdown menu.

What if my industry isn’t listed among the industries offered?

• Use global-level insights for roles and skills recommendations.
• Leverage insights from nearest adjacent industries with similar business functions, such as software development.
• Industry categorization is based on a company's self-identification and the predominant talent within the organization.

Can insights be filtered by benchmark companies?

No, filtering insights by benchmark companies isn't currently available in Market Insights.

Impact and roadmap

How does Market Insights benefit customers already using Eightfold?

• It ensures roles and skill frameworks are current and future-ready.
• Outdated frameworks without Market Insights can hinder agility, hiring, and talent management efficiency.
• Provides role calibration, top-skill recommendations, and alignment with business goals for improved execution.

Skills and Roles Recommendations

How are skill trends derived?

• Skill trends are based on historical data spanning 10+ years.
• Statistical models analyze changes over time in skill prevalence to identify upward or downward trends.

How are related roles recommended in a search?

• AI analyzes the co-occurrence and context of titles to recommend related roles.
• Suggestions go beyond keyword matching to ensure relevance to actual job functions.

How are Market Insights linked to Skills Design and Roles Design?

Market Insights ↔ Roles Design:

• Provides Future Readiness and skill insights for role calibration.
• Recommends skills for roles using global and industry data.
• New roles can be added to Roles Design from Market Insights

Market Insights ↔ Skills Design:

• Refreshes skills recommendations based on updated industry data.
• Allows users to edit or add skills directly from Market Insights into Skills Design.