70-20-10 Model

A Blueprint for Real-World Skill Development

The 70-20-10 Model is a popular learning and development framework that breaks down how people acquire skills most effectively. It posits that learning is a blend of different experiences: 70% from challenging, on-the-job tasks (experiential learning), 20% from social interactions like coaching and mentorship (social learning), and only 10% from formal, structured training like courses and workshops.

Why This Learning Model Matters in Hiring

For hiring managers, this model is critical because it highlights a major flaw in traditional recruitment: over-indexing on credentials (the 10%) while failing to assess a candidate's true potential for growth (the 90%). The ultimate goal is to hire someone who can solve future problems, not just someone who has passed a past exam. The pain point is that a standard resume rarely captures a candidate's ability to learn through doing and collaborating, forcing recruiters into a guessing game about their true capabilities.

The HireZapp Edge: Predicting Potential, Not Just Pedigree

Legacy applicant tracking systems like Greenhouse or Workable are built to screen for the 10%. They match keywords and filter for degrees, but they lack the intelligence to interpret the rich data that signals a candidate's aptitude for experiential and social learning. HireZapp’s AI was built to analyze the complete picture:

• Decoding the 70% (Experience): Our AI goes beyond the resume, analyzing a candidate's GitHub, LinkedIn, and other sources to understand the complexity and impact of their project work. It identifies problem solvers, not just task completers.
• Surfacing the 20% (Social): HireZapp detects collaborative signals, such as contributions to team projects or mentions of mentorship. This provides actionable insight into a candidate's ability to learn from others and thrive in a team.
• AI-Generated Interview Questions: The platform generates personalized, behavioral questions designed to probe a candidate's real-world learning experiences, helping you validate their adaptability and resourcefulness.

From Manual Screening to AI-Powered Insight

On platforms like Lever or BambooHR, the burden of connecting the dots between a candidate's past projects and their future potential falls entirely on the recruiter. This involves hours of manual profile review and subjective interpretation. HireZapp automates this intelligence layer. Our AI synthesizes multi-source data to generate traits like 'fast learner' or 'strong collaborator' and provides a holistic job match score. This allows you to instantly surface candidates who are primed for growth, not just those who check the most boxes on a static job description.

Hiring for potential requires looking beyond the resume. HireZapp's AI gives you the lens to see a candidate's entire learning journey, predicting their future success, not just cataloging their past.

HireZapp Insight