Structured Authoring and a Single-Source Proof of Concept

This group project involved the consolidation and restructuring of two user guides—a hardware user guide and a software user guide—into a unified single-source documentation system. These guides were provided in fragmented individual topic files with significant overlapping content. The project aimed to improve efficiency and consistency by leveraging modular content techniques and structured authoring principles taught in my Digital Literacies class.

Approach

Unifying fragmented hardware and software user guides into a single-source framework was essential for improving efficiency, ensuring consistency, and making information easier to update and distribute across multiple formats.

The project was completed using a systematic, multi-step process informed by my Digital Literacies coursework and tools. Our group communicated and interacted through Microsoft Teams.

Accessing and Preparing Project Files

Our group accessed fragmented topic files through MadCap Flare/Central, analyzing dependencies and organization. Then, we conducted a content audit using Microsoft Excel to catalog files, identify redundancies, and categorize content into DITA models (Tasks, References, and Concepts).

My contributions included cataloging redundant files, aligning them to DITA models, and supporting the design of reusable templates for consistent formatting.

Developing a Content Model

We created a structured content model to define modular authoring rules, including metadata and keywords for improved searchability. This framework was documented in a spreadsheet for team reference and alignment.

Producing Single-Source Deliverables

In MadCap Flare/Central, we designed reusable templates for each DITA model using HTML and CSS.

Then, we created and configured tables of contents (TOCs) for multiple outputs, including a web-based HTML5 knowledge base and two print-ready PDFs.

Finally, we leveraged multi-channel publishing features in MadCap Flare to generate all outputs from a single-source file.

This structured authoring process not only produced a functional proof of concept but also demonstrated how scalable content models can reduce maintenance costs, accelerate updates, and improve usability for end users.