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Almost none have a
human architecture.

That's why they're failing.

Every AI transformation has a technology strategy

Effectv helps organizations define what every role should look like in an AI-augmented workplace — with the evidence and structure to turn that into hiring, performance, and workforce decisions that hold up.

The best of human judgement and AI to supercharge your people ops

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The infrastructure gap

You’ve invested in AI tools.
But the role still runs on outdated assumptions.

Most companies use different definitions of “good” across hiring, onboarding, reviews, and internal moves. That’s why decisions feel inconsistent, political, and hard to scale.

You've invested in

AI tools.

But nobody has redesigned

the roles.

Your job descriptions describe work that no longer exists.

They're outdated before they're posted.

Your talent decisions are still based on intuition.

Hiring, promotion, performance all guesswork.

Ensure that blind spots are not silently sabotaging your chances

Effectv: RoleDNA for effective people operations

Effectv: RoleDNA for effective people operations

Built with inputs from Leading Teams

University of Michigan
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JP Morgan Chase
McKinsey and Company
Gartner
Strategy&, Strategy And
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Value Pillars

Effectv builds role blueprints

Evidence-based profiles for every role your organization is hiring into, developing, or redesigning, so that every people decision is grounded in what the role actually requires in an AI-augmented workplace.

1

Clarity

Every role has a defined, research-backed profile that replaces the guesswork in job descriptions.

2

Alignment

Hiring, onboarding, and performance management operate from the same model.

3

You can see, at the role level, what AI changes, what humans must own, and where the gaps are.

RoleDNA foundation

RoleDNA™ is the single source of truth for what “great” looks like.

RoleDNA™ is the structured framework we use to translate a job description into the evaluation model recruiters implicitly apply when shortlisting candidates.

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Capability Structure

Which competencies must be demonstrated at depth vs familiarity

Experience Signals

How scope, scale, and context of past work indicate readiness

Skill Interdependencies & patterns

How combinations of skills create stronger fit than isolated mentions

Risk Indicators

Common profile gaps that reduce shortlist likelihood even when skills appear present

RoleDNA™ is built using large-scale analysis of over 22,000 job descriptions, career trajectories of 184k+ successful professionals in those roles, and deep organizational psychology research on performance predictors and team fit.

You spend less time reading weak resumes and more time interviewing strong candidates.

The engagement

How the engagement works

1

Diagnostic

Week 1-2

We assess a defined set of roles and teams using the RoleDNA framework, shaped by organizational psychology, talent practice, and real-world work design.

2

Role Blueprints

Week 3-8

You receive structured, evidence based profiles for each priority role, including capabilities, proficiency, human-AI collaboration, and decision criteria.

3

Week 9-12

Blueprints can be applied across hiring, onboarding, performance, internal mobility, and workforce planning, and integrated into existing systems and workflows.

Built on research.

Designed for real organizational decisions.

RoleDNA™ is the structured framework we use to translate a job description into the evaluation model recruiters implicitly apply when shortlisting candidates.

1

The RoleDNA framework is informed by primary research with talent leaders, practitioners, and organizational experts, along with external work-change and labor market research.

It is built to give companies a more rigorous foundation than static job descriptions, generic competency models, or isolated skills lists.

Built for leaders redesigning work.

What Our Partners Say

Candidates ranked by actual role skills, not job titles or keywords.

The organizations that will lead in AI are the ones that know what their people should be doing at the role level.

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