Driving Exploration and Adoption: A Data-Driven Approach to Documentation

  • Fachvortrag
  • Content-Strategie & Informationsarchitektur
  • 23. April
  • 02:00 PM (MESZ) - 02:40 PM (MESZ)
  • beendet
  •  Sadhana Suresh

    Sadhana Suresh

    • IONOS CLOUD

Inhalt

This presentation tells the story of how we used analytics to finally see what our documentation was really doing for users. We started with a simple problem: we had plenty of content, but no clear sense of which pages helped users—and which left them searching for answers. By introducing engagement metrics, traffic patterns, and search insights, the picture changed. We could follow users’ engagement with documentation and identify which documentation needs clearer explanations or better visibility. The session covers how we interpreted these metrics, integrated them into our content strategy, and made data-guided improvements. I’ll share the impact we observed and how this journey continues to shape more discoverable, effective documentation.

Das lernen Sie

  • Use analytics to evaluate documentation performance and KPIs.

  • Derive content strategy from data insights

  • Drive user engagement and adoption through data-driven decisions.

  • Improve content discoverability and impact. 

Vorkenntnisse

A basic understanding of analytics is beneficial but not required. An open mind to learn about analytics is good to have.

Referent:in

 Sadhana Suresh

Sadhana Suresh

  • IONOS CLOUD
Biografie

Sadhana Suresh is a Staff Technical Writer with over a decade of global experience creating explicit, user-focused content across diverse domains. Her expertise spans technical documentation, UX writing, data-driven content strategy, and information architecture, with a strong focus on aligning content with user needs, business goals, and product strategy.

Sadhana works on AI-driven authoring, analytics, and scalable documentation systems. As a content designer and functional lead, she has led projects ranging from information architecture redesigns to AI-assisted delivery — from ideation to release.