This is a test to see how chatgpt would perform in doing a documentation assessment based the CNCF techdocs documentation critera (found here: https://github.com/cncf/techdocs/tree/main/assessments).
Can generated content be used to help speed up the docs assessment process?
can you do a documentation assessment of getporter.org/docs based on the CNCF techdocs documentation assessments criteria and examples using the following template:
Assessment template
Prepared by: <name> (@add-link-to-your-github-id)
Date: 2021-mm-dd
Introduction
This document assesses the quality and completeness of a project's documentation and website (if present).
This document:
How this document works
The assessment is divided into three sections:
Each section rates content based on different criteria.
Project documentation criteria:
Scale:
ββββ1 = (Is not present or requires significant work)
ββββ3 = (Is present, but needs work)
ββββ5 = (Is executed extremely well or no improvement required)
Comments
Provide comments for each rating above, 1-2 sentences max, bullet point list
Recommendations
Provide a list of recommendations to improve in this area
Contributor documentation criteria:
Scale:
ββββ1 = (Is not present or requires significant work)
ββββ3 = (Is present, but needs work)
ββββ5 = (Is executed extremely well or no improvement required)
Comments
Provide comments for each rating above, 1-2 sentences max, bullet point list
Recommendations
Provide a list of recommendations to improve in this area
Website Criteria:
Scale:
ββββ1 = (Is not present or requires significant work)
ββββ3 = (Is present, but needs work)
ββββ5 = (Is executed extremely well or no improvement required)
Comments
Provide comments for each rating above, 1-2 sentences max, bullet point list Include a list of the top 404s, as reported through analytics or a search console.
Recommendations
Provide a list of recommendations to improve in this area
Overall Recommendations
From the recommendations above, lis the top 1-3 concerns for this particular project and expand on them in enough detail that you could either: - Pass the work off to a contractor or other member of the CNCF techdocs team - Write a GitHub issue for the project team and place it in the backlog and someone not involved in the docs assessment process could execute on it
Assessment template
Prepared by: ChatGPT (@OpenAI)
Date: 2023-03-27
Introduction
This document assesses the quality and completeness of GetPorter's documentation and website.
This document:
How this document works
The assessment is divided into three sections:
Project documentation
Nate W.Tue, Apr 4, 2023 9:08 AM This score is a little low, I'd suggesct a 3.5 or 4
thisisobateThu, Apr 6, 2023 9:18 AM This score is a little low, I'd suggest a 4.
thisisobateThu, Apr 6, 2023 9:39 AM This score is high, I'd suggest a 1.
thisisobateThu, Apr 6, 2023 10:04 AM This score is a little low, I'd suggest a 3.
Comments
thisisobateThu, Apr 6, 2023 9:18 AM I don't agree with ChatGPT on this one. I think Porter's new user content are very detailed. Moreover, the above comment sounds too vague to me.
thisisobateThu, Apr 6, 2023 9:39 AM I think this comment is vague; not helpful
thisisobateThu, Apr 6, 2023 10:04 AM I think I agree with this.
Recommendations
Nate W.Tue, Apr 4, 2023 9:09 AM This isn't a particularly helpful recommendation as it is too vague.
thisisobateThu, Apr 6, 2023 9:30 AM This isn't a particularly helpful recommendation as it is too vague.
thisisobateThu, Apr 6, 2023 9:42 AM What does a "clear versioning system" mean?
thisisobateThu, Apr 6, 2023 10:04 AM I agree. There should be a document detailing the entire release process alongside documentation creation and updates.
Contributor documentation
thisisobateThu, Apr 6, 2023 10:33 AM I don't agree with the scores. I think they're non-reflective of the current state of the docs.
Comments
thisisobateTue, Apr 4, 2023 10:09 AM First off, I don't agree with ChatGPT's analysis. Secndly,all these comments are particularly not helpful as they are too vague.
Recommendations
thisisobateTue, Apr 4, 2023 10:09 AM Same for the recommendations.
Website Criteria
Comments
Recommendations
go on, you seem to have stopped before you were finished
user experience
Overall Recommendations
Improve information architecture and new user content: Enhance the overall user experience by providing a clearer structure and more intuitive navigation in the documentation. Add comprehensive getting started guides and tutorials to better assist first-time users.
Enhance contributor documentation and onboarding: Expand communication method guidelines, better organize beginner-friendly issues, and create more detailed "new contributor" getting started content to make it easier for new contributors to join the project.
Website improvements, accessibility, and mobile-first design: Refine the website's branding, design, and functionality. Improve accessibility by following established guidelines and implementing necessary changes. Enhance the mobile-first design to provide a better user experience on mobile devices.