Best Practices

Guidelines

Building products with Sahha

• Always inform your users of why you are asking for permission to capture sensor data.
• Encourage your users provide as much data as they feel comfortable with data permissions. The models perform better when more data is available for them to interpret.
• DO NOT claim Sahha outputs as a diagnosis or diagnostic tool and avoid labelling people as the prediction state output shows. Please use best practices when interpreting data directly users. It is important to note, Sahha is not a diagnostic tool and does not provide a diagnosis. Responsible use of Sahha is a requirement of our API Agreement.

As a customer, when considering the models that Sahha provides, it's important to approach the decision with a strategic and well-informed perspective. Here's how you should think about Sahha's models:

Understand the wellbeing requirements for your project:

First, define your specific well-being and health project goals. Consider whether you are looking to help your users improve sleep, manage stress, boost mental resilience, enhance physical health, or achieve a combination of these. Knowing your objectives will guide your model selection.

Assess Data Sources and Integration:

Evaluate the sources of data that will be used to feed Sahha's models. This may include data from wearables, mobile apps, or other health and well-being tracking tools. Ensure that Sahha can seamlessly integrate with your preferred data sources. Check our integrations list so you know Sahha works with your product . *please note: Sahha's best experience comes through Apple HealthKit integrated devices.

Personalization and Customization:

Consider the degree of personalization and customization that Sahha's models can offer your specific user-base. Can the models adapt to the unique needs and preferences of your users if utilized correctly, providing tailored recommendations and insights. If you want to speak to us about your user-base and specific use-case please get in touch in our Developer Community .

Accuracy and Reliability:

Look into the accuracy and reliability of the Sahha models. Make sure you understand how they have been trained and how they work. If you want to speak to us about the models in detail, please get in touch in our Developer Community .

Data Privacy and Security:

Ensure that your project prioritizes data privacy and security for your users. User well-being data is sensitive, and it's essential that it is handled with the utmost care and in compliance with relevant data protection regulations. For more info, refer to our guide on Privacy & Security .

User-Friendly Interface:

Assess the user interface or platform through which you'll interact with the Sahha models. It should be user-friendly, intuitive, and provide clear insights and recommendations.

Value for Well-being Initiatives:

Determine how the models contribute to the well-being and health initiatives of your project. For example: Are they aligned with your corporate wellness goals, employee assistance programs, or overall health strategy?

Cost and ROI:

Understand the cost associated with utilizing Sahha's models and assess the potential return on investment (ROI). If you want to speak to us about costs, please get in touch with one our our team in the Sahha Community .

Think of your engagement with Sahha as a long-term partnership for the wellbeing of your users over time. By understanding the best-practises in using Sahha, you'll be better equipped to select the Sahha models that align with your well-being and health objectives within your project, ensuring that you receive the maximum benefit from their capabilities.