Feedback board

Add an extract function to the dashboard to allow the downloading of raw data to CSV / fit / zip etc. This would be useful for research where researchers may want to manipulate the raw data for deeper statistical analysis.

Really like the new dahboard, looks amazing and very clean - well done! In the summary section i would add GMI as an important metric and add detail on glycemic ranges (TIR: 3.9 - 10 mmol/L; Hyperglycemia: > 10 mmol/L,....). For us this seems to be a no-brainer but often times people ask about the exact ranges during consultation

Some feedback from Diabetes Specialist Nurse, add a 3 point ID check information on the patient's profile next to name / age Examples could be - DOB - Address Line 1 - Zip / Postcode - Email Address

Add the ability for the end user or HCP to adjust the target ranges. This would be particularly useful in; - paediatric users - pregnant users - elderly users whose target ranges may be bespoke, higher or lower than the ATTD published 3.9-10.0 standard consensus range for TIR.

Improve the way insulin data is visualised on the dashboard for MDI users. Accounting for dose, timing and insulin action decay.

It would be nice if the system automatically detects significant and recurring events that can be potentially dangerous or harmful; like a significant drop in glucose level after exercise + insulin with no cho intake recorded.

Add an estimated A1C or GMI value to the profile page on desktop

Take a person's weight from Garmin / Fitbit / TrainingPeaks integrations (and others if available). This could be done when looking for new activities or on a daily basis

Add the option to delete your account from within the Desktop Dashboard.

Automatically generate notes and reports based on data about glucose/exercise management and progress

Amalgamate duplicate activities from alternative sources where either the - GPS Files match - Time, Date and (Duration or Distance) match.

Sort insulin with your own insulin listed first, then alphabetically. Photos show current and preferred layouts of insulin sort list.

Upon initial signup to the application, run through a tutorial of all the features / functions across the dashboard. Possibly including a video walk-through.

Build into the dashboard AGP of before vs during vs after exercise similar to the days of the week. Consider taking the AGP of the - 4 hours prior to exercise window - during exercise window - 4 / 24 hours after exercise window. This could either exclude time of day and be relative to exercise or include time of day to spot if time of day has an impact

Add a trend line toggle to "Trends" page to make them easier to identify. Perhaps a toggle switch between 3 options like so TREND LINES Off - Linear - Rolling Average