Modern strength and conditioning exists in an era of unprecedented access to data. Force plates, GPS units, readiness questionnaires, wellness apps, and performance dashboards promise increasingly precise insights into athlete preparedness and performance (Halson, 2014; McGuigan, 2017). Across tactical, collegiate, and private-sector settings, coaches are often expected to collect, interpret, and report more information than ever before.
Yet one of the most impactful outcomes of good coaching remains difficult to quantify: keeping people out of surgery, shortening time away from training, and allowing athletes and operators to remain available for their profession. These outcomes rarely headline performance reports, but they may represent the greatest return on investment a coach provides. This article argues that effective coaching—regardless of setting—functions as a form of risk management, while optimizing performance. The Injury etiology model created by Windt & Gabbett, 2017 highlights the impactful variables coaches can manipulate, which are commonly overlooked in similar models. By prioritizing high-impact variables, filtering unnecessary noise, and applying simple, robust training principles, coaches can build durable humans who continue to train, compete, and serve over the long term.
The ROI of a Good Coach
In the world of Strength and Conditioning, one question that gets asked is how to quantify the success of the program. In the team setting, with so many variables at play, it becomes difficult to pinpoint exactly what is working and what isn’t. In many cases, the amount of weight an athlete lifts or they’re power numbers on a force plate become what a lot of coaches fall back on. In essence, it becomes a numbers game and coaches are judged based on the numbers they produce rather than the impact they have on the people they work with.
That brings up the question…what is the ROI of investing in a really good coach? How do coaches show their ROI is worth the investment? The latter is a question that all coaches struggle with. However, it’s an easy question to answer when looking at an impact a performance coach can have on an athlete/client.
As a young strength coach, my vision was narrow on what it meant to be a good coach. I chased numbers, thinking that was how I could show my worth as a coach. However, during that time, I was quantifying my worth by showing up every day for the people I trained. By being a consistent presence for them and by making the weight room a place they could go to focus on their improvement as athletes. Over time, the goal became less about how much someone could lift and more about how they responded to the program itself.
Numbers are great and they tell a story, but they are not the whole story. The best information a coach can get is from the client themselves. Hearing an athlete/client say “I feel great” and can perform at a high level in anything they choose to do is where you see the greatest investment in a coach. As performance coaches, our job is to help the person we are working with perform at their highest level in whatever it is they do. The weight room is a huge piece of the puzzle but we only have a short amount of time to get the most out of the person. So being in tune with the people we work with and understanding who they are as people is crucial to the success of a program. Every person is different and nothing in training is black and white. There is always a gray area and in that gray area exists the best plan for each person.
Coaching Across Contexts: Different Settings, Same Constraints
While tactical, collegiate, and private-sector environments differ in mission and culture, they share common constraints: limited training time, competing priorities (practice schedules, operational demands, life stress), and partial control over sleep, nutrition, stress, and recovery.
Coaches rarely operate in ideal conditions. Tactical athletes may balance unpredictable schedules and external physical demands. Collegiate athletes juggle academics, travel, and competition. Private-sector clients manage work, family, and self-directed training. Fullagar et al., 2015 found that this lack of recovery can lead to over training symptoms such as increased pro-inflammatory cytokines, immune system dysfunction, slowed cognitive function and less accurate cognitive performance. Regardless of the athletes setting, there will be life demands that can heavily impact their training and recovery.
In all settings, coaches must accept a fundamental reality: you cannot control every variable in an athlete’s life. Attempting to do so often leads to over-monitoring, over-programming, or misplaced frustration. Effective coaches instead focus on what they can reliably influence—training structure, load management, movement quality, and progression—while accounting for context rather than fighting it.
Variable Triage
Not all data carries equal value, and not all interventions offer the same return. This reality demands variable triage. The danger lies not in collecting data, but in collecting data without a clear decision attached to it. Over-collection can dilute attention, delay action, and shift focus away from fundamentals. Because there is not one specific measurable variable to determine an individual’s success, it is vital that the coach(es) understand what they are looking for (Bourdon et al., 2017). Similarly, chasing novelty—new methods, tools, or trends—can undermine consistency and long-term adaptation. High-performing programs consistently prioritize strength, movement quality, progressive loading and appropriate volume and recovery.
These variables remain foundational because they are robust across populations and resilient to imperfect conditions. They also provide a stable platform upon which more specific interventions can be layered when warranted.
Across populations, well-executed basic strength training remains one of the most effective tools for improving performance while reducing injury risk (Lauersen et al., 2014). Strength increases tissue tolerance, enhances force production, and improves an athlete’s capacity to absorb and manage load (Gabbett, 2016). When applied intelligently, it supports tactical demands such as load carriage, durability, and repeatability, sport-specific needs including speed, power, and joint health, and individual considerations like injury history and training age. Importantly, “basic” does not mean generic or careless. Small, intentional adjustments—exercise selection, volume distribution, tempo, and recovery—allow programs to meet specific demands without unnecessary complexity. The complexity of an athlete’s program should reflect their training age, have a clear justification, and directly lead to a meaningful outcome. In most cases, consistency and coaching quality outweigh programming novelty.
At its core, coaching is not about data accumulation—it is about decision-making. The coach serves as a filter between information and action. Effective coaches continually ask: What variables matter most right now and how can I realistically influence them? Judgment, experience, and contextual understanding are critical skills. Data can inform decisions, but it cannot replace professional reasoning (Liley, T., & Manley, A. 2021). Knowing when not to act is as important as knowing when to intervene.This filtering role is especially important in environments where athletes are exposed to competing messages from social media, peers, and external programs. Coaches who provide clarity, simplicity, and consistency often deliver the greatest value.
Conclusion
The best coaching outcomes are often quiet, preventative, and long-term. They do not always generate dramatic before-and-after visuals or headline metrics, but they allow athletes and operators to continue doing their jobs. There is no shortage of information on athletes. The true value of the coach lies in identifying the most impactful variables and acting on them consistently within real-world constraints. Filter the noise, prioritize strength, and remember that keeping someone training is often the biggest win.
About the authors:
Jeremy Golden is a strength and conditioning coach, keynote speaker, and published author. He currently is the Director of Fitness at Tehama Golf Club in Carmel, CA. He brings year of experience working with athletes in the NBA, NFL, MLB, NHL, PWHL, PGA, and LPGA. Golden has worked on the college side with Ivy League, Patriot League, Big East, WCC, Mountain West, ACC, NCHC, ECAC, and WCHA athletes.
Golden has spoken at numerous conferences including the National Strength and Conditioning Association’s National Conference. He has written articles for multiple outlets including SimpliFaster Golden has been a guest on several podcasts.
Breanne Rowe currently works with the 13 ASOS as part of AFSPECWAR’s HPO program. She also has worked within the Army’s Holistic Health and Fitness (H2F) program, where she has been involved since its early implementation, contributing to program development, coach integration, and performance optimization efforts at the unit level. Her work emphasizes durability, readiness, and long-term performance for tactical athletes. A Certified Strength and Conditioning Specialist (CSCS), Tactical Strength and Conditioning Facilitator (TSAC-F) and Registered Strength and Conditioning Coach (RSCC) through the National Strength and Conditioning Association (NSCA), Rowe has extensive experience supporting military populations across multiple operational environments.
Rowe holds a Master’s degree in Integrative Human Physiology and Bachelor’s degree in Clinical Physiology. She is an active member of the National Strength and Conditioning Association (NSCA) and USA Weightlifting and has served as part of the NSCA’s Women’s Mentorship program for the last two years, where she contributes to initiatives focused on mentorship, professional development, and advancing the field of strength and conditioning.
References
Bourdon, P. C., et al. (2017). Monitoring athlete training loads: Consensus statement. International Journal of Sports Physiology and Performance, 12(Suppl 2), S2-161–S2-170.
Fullagar, H. H. K., et al. (2015). Sleep and athletic performance. Sports Medicine, 45(2), 161–186.
Gabbett, T. J. (2016). The training—injury prevention paradox. British Journal of Sports Medicine, 50(5), 273–280.
Halson, S. L. (2014). Monitoring training load to understand fatigue in athletes. Sports Medicine, 44(Suppl 2), 139–147.
Knowles, S. B., Marshall, S. W., & Guskiewicz, K. M. (2018). Issues in estimating risk and injury prevention effectiveness. Sports Medicine, 38(9), 739–748.
Lauersen, J. B., Bertelsen, D. M., & Andersen, L. B. (2014). The effectiveness of exercise interventions to prevent sports injuries. British Journal of Sports Medicine, 48(11), 871–877.
Liley, T., & Manley, A. (2021). Coaches’ perceptions of athlete monitoring. Sports Coaching Review, 10(1), 1–23.
McGuigan, M. (2017). Monitoring training and performance in athletes. Human Kinetics.
Windt, J., & Gabbett, T. J. (2017). How do training and competition workloads relate to injury? Journal of Orthopaedic & Sports Physical Therapy, 47(10), 744–747.
