Abstract
Traditional metrics of technical documentation fail to capture the business outcome of technical documentation because such metrics only measure engagement with the documentation itself, not the user's actions (product adoption, task completion, etc.) after engaging with the documentation. This disclosure describes techniques to determine the business outcomes of technical documentation and to make prescriptive recommendations to improve the documentation. User actions are divided into on-page engaged behaviors (referring to user interactions with documentation pages) and off-page conversion outcomes (referring to user actions with respect to a product that the documentation corresponds to). A metric, referred to as highly engaged sessions (HES), combines engaged behaviors and conversion outcomes to measure the business outcome of a user engaging with a page of technical documentation. The HES metric can be subjected to analysis by machine-learning models to identify the characteristics of technical documentation pages that drive the HES metric. The analysis can inform changes to documentation pages to optimize user engagement that increases product adoption and revenue.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sankuri, Varun Bhargava; Hayward, Jacky; and Olson, Jacqueline Hyunh, "Measuring Documentation Effectiveness from Page Engagement and User Actions", Technical Disclosure Commons, (December 01, 2024)
https://www.tdcommons.org/dpubs_series/7607