Introducing a Human-Centered Data Science Maturity Model

Jennifer Fraser | Scott Plewes | November 3, 2020

Leveraging Human-Centered Data Science as a practice helps MedTech product teams humanize their data and maximize its value. We introduce a model to help your team assess how well you’re currently implementing Human-Centered Data Science and understand what to strive for to increase your product team’s HCDS maturity.

Leveraging Human-Centered Data Science as a practice helps MedTech product teams humanize their data and maximize its value. By integrating tools and processes that examine both “what” and “why”, teams can perform more meaningful data analyses to create user-centric products that are thoughtful and intentional.

We’ve created a model to help your team evaluate how developed your Human-Centered Data Science practice is across your organization. Referencing this model, we also demonstrate how to strengthen collaboration between your existing research, design and data practices to deliver enhanced data-informed products.

This guide will help you understand:

  • What integrating a Human-Centered Data Science practice means
  • How we can examine Human-Centered Data Science Maturity through 3 lenses
  • How well your team/organization currently implements Human-Centered Data Science (your maturity level)
  • What it looks like to progress in Human-Centered Data Science maturity using a guiding example

Download: Introducing a Human-Centered Data Science Maturity Model

Assess your Human-Centered Data Science maturity as a first step towards increasing the collaborative nature of your data and human-centered research/design practices. Fill in the form below and we'll email you a copy of the ebook.

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