---
id: "action-define-partner-success"
type: "action-item"
source_timestamps: ["\\\"§ Hire for leadership", "not grunt work\\\"", "¶6"]
tags: ["hiring", "hr-strategy"]
related: ["concept-evidence-based-leadership-hiring", "framework-ai-talent-adaptation"]
action: "Define specific, evidence-based traits that predict on-the-job success for future partners, rather than screening for immediate task execution."
outcome: "A talent pipeline aligned with long-term leadership needs, reducing reliance on high-attrition models."
speakers: ["Atta Tarki", "Joseph Raczynski"]
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-45-consulting-firms-hire-talent"
sourceUrl: "https://hbr.org/2025/10/how-ai-is-upending-how-consulting-firms-hire-talent"
sourceTitle: "How AI Is Upending How Consulting Firms Hire Talent"
---
# Define Predictors of Partner Success

**Action:** Define specific, evidence-based traits that predict on-the-job success for future partners, rather than screening for immediate task execution.

**Expected outcome:** A talent pipeline aligned with long-term leadership needs, reducing reliance on high-attrition models.

Stop screening entry-level candidates based on their ability to perform manual 'grunt work'. Instead, HR and firm leadership must analyze what makes a successful partner and build evidence-based hiring rubrics around those specific long-term predictors. This is Step 2 of [[framework-ai-talent-adaptation]] and the operational core of [[concept-evidence-based-leadership-hiring]].