What do you do if wearable technology is not improving athlete performance analysis?

Seeing 'performance' as the output of a system keeps us clear on what solutions/interventions are worth implementing. Everything we do takes our time and energy and alignment to 'performance' keeps everyone honest! I use a simple sweet spot model of two questions a) is it reliable? and b) does it contribute to performance?

Identify Biases and Assumptions: Evaluate whether there are biases or assumptions influencing the interpretation of the data collected from wearable technology. It's important to critically assess whether certain metrics are being prioritized over others due to preconceived notions or biases. By acknowledging and addressing any potential biases, you can ensure a more objective and comprehensive analysis of athlete performance data.

Focus on the data that actually matters and allow you to improve your performance. The challenge we face now is not a lack of data as it is so easy to get decent data on hand. The real demand is to choose the proper one and work it out successfully in your training regime. Choose a couple of key performance/training indicators that have a real impact on your growth and do not bother yourself too much with the remaining ones.

We often change the goal to adapt to the technology buy you must check the technology is reliable for the goal. If your expertise says the goal is right, then take time to understand the variables or restrictions within that technology, its application and potential error that could be blurring the data and therefore results.

GPTQA by Global Performance Testing International assists in the connection between the data and actual intelligence, use solutions like this to simplify the task and ensure you can understand the validity of the test, the consistency of the environment and application and therefore the reliability of the data before you risk false interpretation. Also, lean on experts in this space to assist you.

If we can use technologies that integrate with each other we would have no problems with interpretation. In my experience, I use the raw data from the tool and synchronize it with a video. So for example, an instrument that records data at 100 hertz will be filmed with a camera that will record at 120 frames per second without producing slow motion. Using an advanced video analysis program we could have the data expressed every hundredth of a second, we will be able to analyze the motor gesture and the data in every single moment. There can be no interpretations other than what you see and it is a tool that teaches a lot as we use it. Many of our false myths will collide with reality before your eyes.

When checking out data from sports wearables, make sure to really dive into it and understand what it's showing. Start by looking at all the numbers and graphs, see if you spot any trends or patterns that stand out. Then, compare it to your goals and expectations to see if you're on track. Don't forget to consider things like the weather or how tired you are - those external factors can really affect the data. And hey, don't be afraid to think outside the box and get creative with your analysis. Sometimes, the most interesting insights come from thinking differently. Just keep analyzing, tweaking things as needed, and keep learning from the data. That's how you'll get the most out of those sports wearables.

To improve data interpretation in physical performance, it is important to comprehend the technology, have clear objectives, and ensure data quality. It is crucial to utilize statistical analysis and involve experts such as data analysts or sports scientists. Communicating findings effectively to stakeholders and making iterations based on feedback is also essential. Moreover, ensuring that the numbers are interpreted accurately and applied is vital to enhance performance. Investing in expertise and refining interpretation processes are key steps in leveraging wearable technology effectively to improve athletic performance.

There are moments to integrate technology and consider them in a flow of "Test-Track-Test". Ensuring the very best and reliable assessment in a controlled "test" moment for the most accurate information i.e. consider every aspect of the assessments validity and consistency, then use a more agile "track" system where you know the increased error and deviation to observe and monitor before then doing a quality assured "re-test" to verify changes back in a controlled environment. This approach allows best of both worlds to decrease reliance on the athlete to be constantly tested therefore free to perform while a great coach can observe and track changes with excellent subjectivity.

If it is true wearable technology, it must be able to be used mainly on the pitch, during normal sports training. The technology I currently use has the only limitation of not being able to be used in water. A limit that we are overcoming with the search for solutions.

Integrating wearable technology into training programs requires a careful balance between utilizing its capabilities and ensuring that it aligns with established goals. If the wearable tech does not improve performance analysis as expected, it is important to review its integration into daily routines thoroughly. Furthermore, it is crucial to align the use of wearable technology with the existing training methods and objectives. Adjustments may be necessary if there is a mismatch between the technology and the training approach. This could involve modifying training programs to better accommodate the insights provided by the technology or adjusting the technology's configuration to better suit the training methods.

Dialogue trumps many singular measures, or multiple singular measures collapsed into an athlete 'theme' (such as readiness). Dialogue rapport is critical to real understanding, use this, alongside wearable technology measures to gain a more complete understanding. Simply asking questions, listening, paraphrasing back to the athlete to ensure understanding accuracy is key. Advice applicable to most human relationships but often overlooked in the world of data-analysis.

I have been using wearable technology since 2014. Thanks to athlete feedback it has been improved and made less invasive. Today it can be used on the field and even during night sleep without complaints from athletes.

I recently collaborated with a sports technology apparel startup on their market research. The brand's successful product-market fit (PMF) was attributed to their strategy of providing numerous free kits to both local and national athletes, allowing them to evaluate the performance-enhancing aspects of the gear. Incorporating athlete feedback, they refined the product's finer details, which later became key selling points in their marketing strategies.

Warning: Be careful of falling into a trap of adding multiple technologies to fix the deficiencies in one technology as you can fly off in a very misinformed direction. Learn the limitations and nuances of the technology beyond the simple instruction manual or sales pitch, find out what it can do and stick to these limitations. If it isn't going to give you the data you need, research and remember that technology is objective and unbiased therefore it may not give you the result you wanted, it will give a result that is in front of it.

I disagree with this statement, in my experience (and I can produce all the data) I have used wearable technology in every situation. Until now only water was closed to me, but now I can analyze an athlete's internal and external load. My posts on Linkedin confirm and prove it. I don't believe that subjective data is ever good information but only indicative information.

Continuous learning is crucial for optimizing physical performance in sports management using wearable technology. Continuous learning fosters a culture of innovation and problem-solving, empowering coaches and athletes to experiment with novel wearable technology applications and implement creative solutions to enhance performance. So, embracing a mindset of lifelong learning in wearable technology use allows coaches and athletes to leverage data-driven insights and achieve peak athletic performance.