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A new model for understanding human capability in today's workplace

Most assessments measure how people describe themselves. Ignis measures how they perform in realistic work situations, scored against a validated framework, with results that are comparable across people, programs and time.

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7 skills. 1 coherent framework.

The Power Skills framework didn't come from a product roadmap. It emerged from 2 decades of applied research into what actually drives performance in modern work (across industries, levels, and more than 60 countries).

These are the capabilities that remain distinctly human as AI handles more of the technical load. They are measurable and developable. And because they can be developed, they can be measured, which means you can show what changed.

Leadership

The ability to mobilize people and resources through self-awareness, clarity, and integrity to drive meaningful, coordinated action.

Analytical Thinking

The ability to interpret information, identify patterns, and make sound, evidence-based decisions under uncertainty.

Collaboration

The ability to build trust, work effectively across teams and functions, and turn diverse perspectives into shared outcomes.

Communication

The ability to convey ideas clearly and persuasively while listening deeply and adapting messages to different audiences and contexts.

Creative Thinking

The ability to generate innovative ideas, reframe problems, and design new and effective solutions that create value in fast-changing environments.

Productivity

The ability to focus on what matters most, manage time and priorities, and deliver consistent results with discipline and efficiency.

AI Fluency

The ability to understand, question, and responsibly leverage AI tools to enhance decision-making, creativity, and performance.

How it works

Most assessments ask you to pick A, B, C, or D. Ignis puts you in a realistic work situation, asks for your open-ended response, and scores the thinking, communication, and leadership actually demonstrated in your answers, not which box you checked.

Engage in realistic scenarios.

No Likert scales. No bubble sheets. Participants work through realistic, work-like situations and respond in their own words, producing behavioral data that's harder to fake and richer in signal than any self-report questionnaire.

Observe demonstrated behavior.

An AI model reads your responses and scores how you actually think through problems, communicate under pressure, weigh tradeoffs and lead, not self-reported traits or forced-choice selections.

Get a clear, actionable signal.

You receive an Ignis AI PowerSkillsPrint™, a scored profile across all seven skills and subskills, comparable across candidates, teams and time. Use it for a development plan or to inform hiring.

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The problem with self-reporting

Personality assessments and self-report tools can help people understand their preferences, work styles and tendencies. They were never designed to evaluate skill development, much less over time.

What self-report assessments give you
What Ignis gives you
What self-report assessments give youHow someone describes themselves
What Ignis gives youWhat someone demonstratesunder realistic conditions
What self-report assessments give youA snapshot of preferences and traits
What Ignis gives youA scored profile across 7 measurable Power Skills
What self-report assessments give youLabels that don't change
What Ignis gives youProficiency levels that develop over time
What self-report assessments give youA picture of who someone is
What Ignis gives youEvidence of what they can actually do
What self-report assessments give youResults tied to a single moment
What Ignis gives youA before-and-after storythat shows what changed

20 years of research. Validated at global scale.

The science behind Ignis didn't begin with a product. It began with a research program, and the platform is its application.

The work that underpins the Ignis AI PowerSkillsAssessment™ spans 2 decades of applied research in computational psychometrics and AI-enabled assessment.

Prior research

Harvard NSF Microsoft OECD The LEGO Foundation
  • Harvard University: AI-enabled assessment of hard-to-measure skills, deployed in Microsoft and HarvardX talent development programs
  • Microsoft: Applied validation of the Power Skills framework in real workforce contexts across more than 100,000 global participants
  • U.S. National Science Foundation: Research funding supporting psychometric development and creative thinking assessment at scale
  • OECD: Dr. Rosen and his team led the first global assessment of collaboration and creative thinking skills across 70+ countries
  • The LEGO Foundation: Research partnership on human capability development and creative thinking measurement

Psychometric foundation

Ignis uses a latent-variable approach to estimating skill proficiency, using assessment scores as signals and taking into account relations between skills and subskills. It produces skill proficiency estimates with their corresponding confidence intervals.

Every PowerSkillsPrint™ score is traceable to specific behavioral indicators in a participant's response. It is explainable and auditable, and the documentation exists for anyone who needs it.

Bias and fairness

Bias in assessment is not a hypothetical concern. It's a documented reality across the industry, one that produces unfair outcomes and creates organizational risk.

We did not assume Ignis was unbiased. We tested it.

In April 2026, Ignis completed a bias study with over 1,000 participants examining outcomes across sex, gender, ethnicity, and age group. The methodology followed standard industrial-organizational psychology practice for adverse impact analysis.

No significant adverse impact was found across any protected group.

That evidence is documented and available for review.

Download the Technical White Paper 

Peer-reviewed publications

Research underlying the Ignis methodology has been published and presented across ACM Learning @ Scale, Educational Data Mining, the BIG.AI@MIT Conference, the Military Operations Research Society at Carnegie Mellon, the OECD's PISA assessments, and additional peer-reviewed venues spanning psychometrics, computational learning science, and behavioral assessment.

See it in action.

The best way to understand how Ignis works is to see it applied to something you're actually running.

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Want the full technical documentation? The Ignis AI PowerSkillsAssessment™ Technical White Paper covers the complete methodology, scoring architecture, psychometric validation, and bias study results.

Download the Technical White Paper 

FAQs

Ignis gives you clear before-and-after shifts in Power Skills at the individual, cohort and organizational levels. You can line those up against metrics you already track (such as promotion rates, retention in key roles, engagement scores or program completion) to tell a concrete impact story, even if you don't connect every result to a dollar figure.

Each Power Skill is measured through its own module, typically 15–20 minutes, and you choose how many skills to include for a given audience. Because the format uses realistic work scenarios instead of abstract statements, participants generally experience it as relevant development insight, not as one more generic survey.