How Moody Month Leveraged Spike to Integrate Wearable Data for Hormonal Health Insights

Moody Month uses Spike API to integrate wearable data from Apple Watch, Fitbit, Garmin & more—offering women personalized hormonal health insights by combining cycle tracking with real-time wellness data.
July 5, 2024
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Quick Learnings

Table of contents

About Moody Month

Moody Month is a health and wellness company focused on improving women’s hormonal health. Founded by Amy Thomson, Moody Month helps women understand and manage their moods, cycles, and overall well-being through personalized insights and advice.

The app’s mission is to empower women by providing knowledge and tools to track hormonal fluctuations and their impact on daily well-being. By combining hormonal data with lifestyle factors, Moody Month creates a holistic view of women’s health, encouraging users to embrace and manage their unique hormonal cycles. Available on both iOS and Android, the app is designed to make hormonal health accessible and actionable for all women.

The Challenge

Moody Month aimed to provide users with a comprehensive view of their hormonal health by integrating data from various wearable devices and health apps. This integration was necessary for displaying wearable data alongside manually inputted log data, allowing users to discover trends and patterns across their menstrual cycle. The challenge was to access and manage raw data focusing on daily averages, maximum, and minimum values for:

  • Steps
  • Distance
  • Heart rate
  • Sleep
  • Temperature
  • Glucose levels

They needed to integrate this data from a variety of devices and applications including:

  • Apple Watch
  • GoogleFit
  • Samsung Health
  • Fitbit
  • Garmin
  • Oura Ring
  • Whoop
  • Withings
  • Polar
  • Huawei Health
  • Dexcom

“We needed a secure and efficient way to integrate wearable data into our platform to give our users a holistic view of their health,” said Ciara Ferguson, co-founder and Chief Data Scientist at Moody Month. “Developing all integrations in-house would not have allowed us to serve the breadth of users that we are now capable of supporting with Spike.”

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Solution

Spike API provided a unified solution for integrating data from a wide range of wearables and health apps. With Spike, Moody Month could access comprehensive health data from Apple HealthKit, Google Fit, Samsung Health, Fitbit, Garmin and other devices, ensuring accurate and personalized insights.

The integration process was seamless and flexible, allowing Moody Month to collect and display the desired raw data. This integration helped users discover trends and make informed decisions about their health by combining wearable data with manually inputted log data.

Spike API enabled us to access and manage data from various wearables efficiently. The fact that Spike does not store user data was a crucial factor in our decision, ensuring our commitment to data privacy and security.

– Ciara Ferguson, Chief Data Scientist at Moody Month

Results

The integration of Spike into Moody Month’s platform improved the app’s user experience. Users could see a more comprehensive and accurate picture of their health, leading to increased engagement and satisfaction. The streamlined data management process allowed Moody Month to focus on developing new features and expanding their user base.

By providing a scalable and reliable solution for data integration, Spike helped Moody Month strengthen its position in women’s health and wellness. Users could easily access and interpret their health data from various wearable devices, making Moody Month an essential tool for daily health management.

FAQs

What is Moody Month and how does Spike API help solve problems for women?

Moody Month is a health and wellness company founded by Amy Thomson that focuses on improving women's hormonal health. The app helps women understand and manage their moods, cycles, and overall well-being through personalized insights and advice. Spike API enables this by providing unified access to comprehensive health data from multiple wearable devices, empowering women to track hormonal fluctuations and their impact on daily life across their unique menstrual cycles.

What specific health data does Moody Month integrate through Spike from wearable devices?

Through Spike's API, Moody Month integrates comprehensive health metrics including steps, distance, heart rate, sleep patterns, temperature, and glucose levels. Spike provides access to daily averages, maximum, and minimum values for these metrics, allowing Moody Month to combine wearable data with manually inputted logs to help users discover trends and patterns across their menstrual cycle.

Why didn't Moody Month build these integrations in-house instead of using Spike API?

According to co-founder and Chief Data Scientist Ciara Ferguson, developing all integrations in-house "would not have allowed us to serve the breadth of users that we are now capable of supporting with Spike." Building individual connections to 10+ different platforms would have been time-intensive and limited their ability to scale, whereas Spike's unified API provided immediate access to multiple data sources.

How important was data privacy in Moody Month's decision to use Spike's API?

Data privacy was crucial to Moody Month's decision to partner with Spike. As Ciara Ferguson noted, "The fact that Spike does not store user data was a crucial factor in our decision, ensuring our commitment to data privacy and security." This allows Moody Month to maintain user trust while accessing comprehensive health data from multiple sources through Spike's secure infrastructure.

What results has Moody Month seen since integrating with Spike's platform?

Since implementing Spike's integration, Moody Month improved their user experience by providing a more comprehensive and accurate picture of users' health, leading to increased engagement and satisfaction. Spike's streamlined data management process allowed the team to focus on developing new features and expanding their user base rather than managing complex individual integrations.

How does Spike API enable Moody Month to combine wearable data with manual logs for user benefit?

pike's unified API allows Moody Month to seamlessly display wearable data alongside manually inputted log data, enabling users to discover meaningful trends and patterns across their menstrual cycle that wouldn't be visible from either data source alone. This Spike-powered holistic view enables more informed decisions about health management and helps users better understand how their hormonal cycles impact various aspects of their well-being.

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