Most fitness advice tells you what coaches should do. A large-scale analysis of real prescriptions finally shows what they actually do. The gap between the two is worth paying attention to, whether you're a client evaluating your current program or a coach looking to audit your own defaults.
In 2026, Trainera published findings from an analysis of more than 13,000 exercise prescriptions written by working coaches across a range of client types and training contexts. The results offer a rare, ground-level look at how programming actually gets built in practice, and where it may be falling short of what the evidence now supports.
The Default Setting Most Coaches Use
If you've trained with more than one coach, you may have noticed a pattern. The sets and reps feel familiar. The rest periods feel similar. That's not coincidence. The Trainera data shows that coaches overwhelmingly default to a single prescription structure: three sets of 12 repetitions with 60 seconds of rest between sets.
This configuration dominated the dataset regardless of client profile. It appeared across beginners and intermediate trainees, across fat loss goals and strength goals, and across both in-person and remote coaching contexts.
Three sets of 12 with 60-second rest is a hypertrophy-oriented prescription. It sits squarely in the rep range and rest period associated with muscle growth. That's not inherently wrong. Hypertrophy training is valuable, it supports metabolic health, functional capacity, and body composition across the lifespan. But when it becomes the universal default rather than a deliberate choice, it raises a question: is the prescription serving the client, or is the client being fitted to the prescription?
Core Work Is Everywhere, Maybe Too Universally
The second major finding concerns exercise selection. Core exercises, and specifically the Plank, appear with striking frequency across the full dataset. It's one of the most commonly programmed movements regardless of the client's stated goal, training age, or physical limitations.
The Plank is a legitimate exercise. It trains anterior core stability, it's low-skill to teach, it's safe for most populations, and it scales reasonably well. Those qualities explain its popularity. They don't fully justify its near-universal presence in programming regardless of context.
A client rehabilitating from a hip injury, an athlete working on rotational power, and a sedentary office worker beginning their first training block may each benefit from core work. But they don't necessarily benefit from the same core work. When one exercise appears this consistently across genuinely different clients, it's worth asking whether its inclusion reflects individualized assessment or programming habit.
The Evidence-to-Practice Gap
Exercise science has moved considerably in recent years. Research on resistance training has clarified that volume, intensity, and rest period manipulation can be meaningfully different depending on a client's goal, training status, and recovery capacity. A well-designed program for a 55-year-old focused on longevity looks different from one built for a 28-year-old pursuing physique goals, even if both clients train three days a week.
What the Trainera analysis suggests is that this differentiation isn't consistently happening in practice. The median prescription doesn't shift much across client types. That's a significant finding. It points to a gap between what the research recommends and what coaches actually deliver at scale.
This isn't necessarily about coach quality in an individual sense. Many experienced coaches produce excellent results with clients. The issue is more structural. When coaches operate under high caseloads, limited session time, and the administrative pressure of managing multiple clients, default programming becomes a time-management strategy. The problem is that defaults don't serve outliers, and in a diverse client population, there are always outliers.
If you're wondering how hard you should actually be training at the gym, the answer depends more on your individual context than on any generic template, which is exactly what this data underscores.
What's Missing From the Average Program
Looking at what shows up consistently in the data is useful. So is looking at what's absent. A few patterns stand out.
- Rest period variation. The fixed 60-second rest interval appeared across a wide range of prescribed intensities. Research supports longer rest periods (two minutes or more) for strength-focused work and shorter intervals for metabolic conditioning. When rest periods don't scale with intensity, the physiological stimulus shifts in ways the coach may not intend.
- Load progression structure. Prescriptions in the dataset rarely included explicit progression models. Knowing you'll do three sets of 12 today says nothing about how the program evolves over weeks. Without a built-in progression framework, training tends to plateau.
- Goal-specific rep range distribution. Strength adaptations are better supported in lower rep ranges (three to six reps at higher loads). Muscular endurance develops more efficiently at higher rep ranges (15 to 25). If a client's goal is functional strength or sport preparation, a consistent diet of 12-rep sets may not be the most direct path.
- Recovery integration. Very few prescriptions in the dataset included structured guidance on recovery between sessions. Understanding how to read your recovery signals and adjust accordingly is a skill that well-designed programming should build in clients over time.
Why This Happens: The Operational Reality of Coaching
It would be easy to interpret this data as an indictment of coaches. That's not what it is. The more accurate read is that it reflects the operational reality of coaching as a profession.
The fitness coaching industry in the US generates roughly $12 billion annually. The majority of that revenue flows through solo coaches and small studio operators working at high volume with limited time per client. At scale, programming customization competes directly with sustainability. Coaches who spend 90 minutes per week building individualized programs for every client tend to burn out or undercharge for their time.
The result is template-based programming. Templates aren't inherently bad. A well-designed template built on sound principles can outperform a poorly executed custom program. The issue is when templates are applied without acknowledgment of their limitations, or when clients are charged for individualization they're not receiving.
If you're new to working with a coach, understanding what to expect from your first coaching session can help you identify early on whether your program is genuinely tailored to you or built from a default framework.
What This Means If You're a Client
The practical value of this research isn't to make you distrust your coach. It's to give you a better framework for evaluating what you're receiving.
A few questions worth asking:
- Has your coach assessed your training age? The prescription for someone in their first six months of lifting should look meaningfully different from one for someone with five years of consistent training.
- Does your programming change over time? If you've been doing three sets of 12 for three months with no variation in structure, that's worth raising. Adaptation requires progressive overload, and overload requires change.
- Do your rest periods match your goals? If you're trying to build strength, 60 seconds may not be enough. If you're focused on conditioning, it might be too much. This detail matters more than most clients realize.
- Is your core work purposeful? Planks are fine. But if you have specific goals or limitations, your core programming should reflect those, not just fill a slot in the session.
Longer-term research reinforces why getting this right matters. Data from over 110,000 Americans shows that the type, frequency, and structure of exercise across the lifespan significantly shapes health outcomes decades later. The prescriptions you follow now are not inconsequential.
What This Means If You're a Coach
If you recognize your own programming in this data, you're not alone. The patterns Trainera identified aren't fringe behaviors. They represent the median of professional practice. That means the gap between current norms and evidence-based prescription is an opportunity, not a condemnation.
A few targeted changes can move a program from generic to genuinely individualized without requiring a full overhaul of your workflow. Building explicit progression models into your templates, scaling rest periods to match prescribed intensity, and running a brief goal-to-exercise-selection audit every training block are low-cost interventions that pay dividends in client outcomes.
It's also worth considering that clients are becoming more informed. Research on training science is increasingly accessible, and clients who do their homework will notice when programming doesn't match their stated goals. The data from studies like Trainera's won't stay inside professional circles for long.
The Benchmark You Can Use Now
Three sets of 12 at 60 seconds of rest isn't wrong. It's just not a complete answer for every client in every context. The same goes for the Plank. These are useful tools. The problem is using them as universal solutions.
What the Trainera analysis gives both coaches and clients is a rare benchmark: an honest picture of what programming actually looks like in practice, at scale, right now. That picture is useful precisely because it's not aspirational. It's real. And real data is where meaningful improvement starts.
If the goal is programming that actually serves the individual in front of you, the first step is knowing where the current baseline sits. Now you do.