Writing is a basic skill that technical writers have strong expertise in. Technical writers produce an invaluable artifact called product documentation. These skills help technical writers effectively deliver their roles and responsibilities.

Technical writers are indispensable to customer operations. Without technical writers producing and updating product documentation, chaos will reign!

Types of Data Analytics Skills for Technical Writers

Given the emergence of digital transformation projects and Artificial Intelligence (AI), technical writers need to upskill in data analytics and AI skills. Here are some of the data analytics skills

Data Management skills

Technical writers should learn the basics of data management and frameworks like DAMA DMBoK to understand data fundamentals, lineage, security, and organization. Understanding data collection methods is crucial for building reliable metrics and insights.

Technical writers collate data from business systems such as Google Analytics, Google Search Console, CRM, product analytics tools, and so on. This helps with data linking leading to richer information. This also helps technical writers communicate clearly to internal stakeholders what data needs to be captured and its purpose.

Basic Data Analysis skills

This means that technical writers should learn about basic exploratory data analysis techniques such as correlation, head map, distribution, and so on. In addition to this, technical writers should know how to calculate mean, median, and so on. These data skills elevate technical writers to the next level as they can measure and monitor the right metrics to improve the business impact of their efforts. Focus on learning these skills would help technical writers communicate metrics clearly to their decision-makers such as C-level executives

• Basic statistics including average, median, mode, and so on
• Hypotheses testing
• Correlation analysis
• Head map generation
• Distribution and histograms
• Charts

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