Similar to how developers produce software, analysts produce data products
Data products include dashboards, analyses, and data apps
Agile is a process framework that focuses on iterative development done in short bursts, called sprints
Planning and prioritization at the start of each sprint
Use regular scrum meetings to conduct sprint planning, prioritization, and review
Clearly defining tasks with deliverables and timelines
Present hypotheses, approach(es), and aspects of data product(s)
Retrospectives and demos at the end of each sprint
Present analyses/data products to stakeholders, review sprint
A README is documentation that tells you how to start using and understanding a new piece of software
A typical README is a text or markdown-formatted file included with the project
Learn how to format a README here: https://www.makeareadme.com/
READMEs for data products include things like usage, reproducibility, sources, and metadata
For a widely-used data product, consider User Stories
User Stories are a prioritized list of tasks the user is trying to accomplish
User Stories help developers, analysts understand users’ needs
Iterative, human centered design
Is the analysis interpretable? Is the way it’s presented intuitive and simple?
Prototype analysis with user groups, have them ask questions, document findings