‍Data iQ™

Data iQ™ (Input Quality) is a proprietary metric that quantifies the “quality” of data you provide that are used to optimize your health, fitness, and/or performance. Higher quality data input means higher quality outputs—analysis, predictions, optimization—that lead to better results for you.

Data iQ is expressed on a scale from 1 to 100% and is visible throughout your optimized training and race execution apps to evaluate items such as threshold assessments, training sessions, current threshold values and training intensities, TrainX Scores and RaceX projections.

Having visibility to your Data iQ helps you understand how it impacts your training and informs you how you can improve the quality of your data to achieve your best results. It also helps you set proper expectations related to race prediction accuracy that may be limited by poor data.

Data iQ Factors

Your Data iQ is impacted by many factors that vary by discipline.

  • Equipment Type - What type of equipment are you using to track your activities? i.e. Are you cycling with GPS on a smart phone app or are you using a power meter?
  • Equipment Quality - What is the quality and accuracy of your training equipment/devices? i.e. Entry-level equipment targeted at the general fitness market rarely provides the same data quality as higher-end equipment produced for more performance-minded athletes.
  • Intensity Metric Type – What intensity metric(s) is provided? i.e. manually entered rating of perceived exertion (RPE), heartrate, pace, power.
  • Metric Match – Does the intensity metric match the primary intensity metric for the prescribed session? i.e. If you’re performing a heartrate-based session, is heartrate data included in activity file or just pace/power?
  • Connection Type – How was your data transmitted? i.e. Was it manually entered, sent through an intermediary application where data may have been degraded, auto-synced direct from the primary device/application?
  • Supplemental Metrics – What other supplemental metrics are included in the activity file? i.e. In addition to the primary intensity metric (power, pace, and heartrate), are other metrics also included in the activity file such as secondary intensity metrics or movement dynamics metrics.
  • Substantiation – How well does the performance in the activity file correlate with other recent training activities?
  • Recency – How accurate and up to date is your current threshold ability and/or body weight?
  • Environmental – Is environmental data (temperature, humidity, elevation) available and accurate to leverage EnviroNorm?
  • Genetic context – Are you leveraging your genetic information through PhysiogenomiX to enhance your training and race optimization?

Two Data iQ Contexts

There are primarily two contexts for Data iQ values—historical and perishable.

Historical Data iQ values include those for completed assessments, training sessions, and race results. In these cases, the Data iQ is based on the activity file and the other contextual data present at the time the activity was completed.

Perishable Data iQ values are based on historical Data iQ and other contextual data at specific point in time such as today.

These values are referred to as perishable because they are based on historical values and the further in the past those historical values are the more their quality/accuracy is diminished.

These values are for your current threshold, current body weight, training intensities for future training sessions, future race predictions, and so forth.