How a Simple Formula Can Quantify Success, Influence, and Speed for Organizations

This article extracts the formula "Achievement = Success Rate × Influence × Speed" from Wu Jun’s book *Geju* and uses mathematical modeling to analyze how these three factors interrelate and jointly determine individual or organizational achievement.

1 Achievement Formula

Wu Jun proposes a concise formula Achievement = Success Rate × Influence × Speed to explain achievement. Success rate reflects the ability to complete tasks, influence represents social impact, and speed indicates efficiency. The formula provides a clear framework for understanding and improving achievement.

2 Measurement

2.1 Success Rate Model

Success rate can be quantified using historical data, experience, or probability theory, such as analyzing past project completion or goal attainment rates to estimate future success.

2.2 Influence Model

Influence is multidimensional, encompassing reputation, reach, and partnership count. Network models can quantify these dimensions and examine their interactions.

2.3 Speed Model

Speed can be measured and improved through time management, resource allocation, and process optimization, using time‑series or optimization models to assess its impact on achievement.

3 Strategy

3.1 Success Rate Optimization

Data‑driven decisions: analyze historical data to identify key drivers of success and devise improvement strategies. Continuous improvement: foster a culture and processes that encourage ongoing enhancements.

3.2 Influence Enhancement

Brand building: use public relations, marketing, and customer service to shape brand image. Network expansion: actively participate in industry events and deepen partnerships.

3.3 Speed Improvement

Process optimization: regularly evaluate and streamline workflows to eliminate bottlenecks. Technology and tools: invest in new technologies to boost efficiency.

4 Application and Analysis

Using a software development company as an example, the mathematical models were applied to optimize project management. Initially the company faced delays and quality issues.

Success rate optimization: analysis of past project data identified key factors; measures such as increasing testing resources and improving requirements management raised the success rate.

Influence enhancement: building a partner network and improving customer satisfaction expanded the company’s influence, leading to more project opportunities.

Speed improvement: optimizing project workflows and enhancing team collaboration shortened project cycles and increased speed.

Wu Jun’s achievement formula offers a powerful framework for understanding the key drivers of individual or organizational success. By quantifying these factors through mathematical modeling, specific strategies can be devised to optimize them and raise overall achievement.

Reference: Wu Jun. *Geju* [M]. Beijing: CITIC Press, 2019.