Like all AI technology, VALD AI gives more reliable and rapidresponses when you, the user, optimize your prompts. The clearer and more consistent you are, the better your analysis results from VALD AI will be.
The main idea is to be as precise as possible. Keep in mind that VALD AI accesses data from all systems, and some tests and metrics are available across several systems or may have similar names.
1. Outline your request clearly
Define the scope of your request precisely, including the desired output such as particular insights, tables, charts or summaries.
2. Be specific
Call out key details in your prompts to avoid ambiguity e.g., VALD system, test type/position, metric, laterality, grouping and time period.
3. Use simple, structured language
Avoid vague wording and write clearly and concisely. Break up complex requests into their logical parts where possible.
4. Iterate step by step
Refine your prompt based on previous outputs to progressively improve results – complicated queries will benefit from being stepped out in this way.
Example prompts
Show me NordBord Nordic max force across all athletes by month for the last 24 months. Present it as a line chart. Include data from both left and right lateralities.
Give me a red-amber-green rating for patients who did a balance test on HumanTrak. Use red to indicate declines and green to indicate improvements. I'm only interested in patients that tested in the last 6 months.
Calculate the ratio of knee extension max force to knee flexion max force captured from DynaMo . Use data from the last 6 months but only consider patients who have done both tests on the same day. Use all testing positions.
Use body weight in kilos from the last CMJ test to normalize NordBord Nordic max force to bodyweight. If a profile did not complete a CMJ test, do not show the results.
Visualize changes in max force during a hand grip strength test (neutral grip) on DynaMo, from first test to most recent test. Only include the top 10 profiles with the largest positive change.
Create a table that shows differences in eccentric hamstring force recorded during a Nordic test between males and females aged between 18 to 40 years in 2025. Provide the number of athletes and tests taken into account to perform this comparison.
Generate the 5th, 25th, 50th, 75th and 95th percentiles for hip adductor strength measured using a ForceFrame for female athletes only.
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