AI Coaching Effectiveness Measurement via Performance Metrics

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Solution Overview

Problem

Corporations face challenges in identifying and improving underperforming employees, particularly in determining specific areas for improvement and assessing the effectiveness of supervisor coaching in employee performance enhancement.

Innovation Solution

A server system utilizing artificial intelligence engines analyzes aggregated employee data to determine unified metrics, distribution curves, and next best actions for performance improvement, including coaching sessions, and evaluates coaching effectiveness by comparing pre- and post-coaching performance metrics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If supervisors provide coaching to employees to improve performance, then employee performance can be improved, but the organization has no way to measure the effectiveness of the coaching

Engineering Contradiction:

Improvecoaching effectiveness measurementVSAvoidlack of coaching quality data

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system implements feedback by measuring employee performance metrics before and after coaching sessions, then using this feedback to adjust and improve future coaching effectiveness. The AI analyzes performance data to determine whether coaching interventions achieved their intended goals.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces manual, subjective coaching evaluation with an automated AI-based measurement system that objectively analyzes performance data. This substitution transforms the coaching evaluation process from a qualitative, subjective assessment to a quantitative, data-driven measurement system.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If the organization implements comprehensive employee performance monitoring, then employee performance can be improved, but the complexity of identifying specific improvement areas increases

Engineering Contradiction:

Improveemployee performance improvementVSAvoidperformance analysis complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system extracts only the most relevant performance metrics and improvement areas from comprehensive employee data, rather than analyzing all available data. The AI identifies and isolates specific skill gaps and improvement opportunities, simplifying the complex task of performance analysis.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms complex performance data into simplified, actionable metrics by changing the parameters of analysis. The system converts raw performance data into standardized scores and identifies key improvement areas through parameter transformation, making the complexity manageable.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the organization uses traditional performance review methods, then employee performance can be assessed, but the time required to identify and address performance gaps increases

Engineering Contradiction:

Improveperformance assessment accuracyVSAvoidperformance improvement timeline

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of performance data continuously, so that when coaching is needed, the specific improvement areas are already identified. The AI prepares performance assessments and improvement recommendations in advance, eliminating delays in the performance improvement process.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces traditional, time-consuming manual performance review processes with automated AI analysis. The system continuously monitors and analyzes performance data, instantly identifying gaps and generating improvement recommendations, thereby dramatically reducing the time required for performance assessment and intervention.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12260363B2Determining a coaching effectiveness of coaches that are developing employees

Publication Date: 2025.03.25 AMPLIFAI SOLUTIONS INC

AI summary

In some examples, a server determines, based on aggregated data, metrics associated with an employee. The aggregated data includes activities performed by the employee using a computing device. The server determines, based on the metrics, a unified metric associated with the employee. The server determines a distribution curve based on the unified metric associated with the employee and additional unified metrics associated with additional employees and determines a location of the employee on the distribution curve. The server predicts, using multiple artificial intelligence engines, a next best action to improve a future performance of the employee. The server determines, a predetermined time interval after the particular data, a second unified metric associated with the employee. If the second unified metric is greater than the first unified metric, the server determines that the coaching session was successful and increases a coaching effectiveness metric associated with the coach.