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Transforming Documentation: A Data-Driven Approach to Prioritization

  • Presentation
  • Content Strategy and Data Analytics
  • 02. April
  • 15:00 - 15:40 PM (CEST)
  • 13:00 - 13:40 PM (UTC) | 09:00 - 09:40 AM (EDT)
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  • finished
  • Maria Tippler

    Maria Tippler

    • SAP

Contents

This presentation introduces data-driven approaches for prioritizing improvements to technical documentation. By combining user feedback and web analytics, we’ll explore methods such as correlation analysis, linear regression, and random forest modeling to pinpoint what truly drives the ratings of documentation topics. You'll get a quick overview on what kind of data to aggregate and how to apply data science techniques to identify and predict which topics should be targeted for improvement. Practical examples will showcase how to prioritize topics with poor feedback and high engagement for the best impact on user satisfaction.

Takeaways

Data science techniques like linear regression and random forests empower us to make informed decisions as part of a content transformation stategy.

Prior knowledge

Basic understanding of web analytics (e.g., page views, bounce rates).

Familiarity with the concept of user feedback and how it impacts documentation.

No prior experience with data science techniques like linear regression or random forests is necessary, but a general interest in data-driven approaches will help.

Speaker

Maria Tippler

Maria Tippler

  • SAP
Biography

Maria Tippler is a User Assistance Developer Specialist at SAP, with over 4 years of experience in the SAP customer experience division. She holds a Master’s in Information Technology from McGill University, specializing in data science and UX. Maria excels in technical writing, content analytics, and prompt engineering for large language models. She leads the quality and measurement work package at the central level of the organization and is part of the SAP Catalyst program, contributing to SAP's innovation and transformation as an early-career thought leader. Recognized for her collaboration, she received the prestigious SAP Canada Labs award alongside her colleagues in CX Analytics. She is passionate about the intersection of technical writing, artificial intelligence, analytics, and user experience. Maria blends her technical expertise with strong soft skills, using data science and customer feedback to drive strategic decisions and innovation in improving user satisfaction.

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