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* v1 of Produce Dataverse Table Schema Documentation from Metadata Spreadsheet
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Co-authored-by: Luise Freese <[email protected]>
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type: "regular"
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## UPDATE
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Although the content below is still valid, there's a better, and easier way of doing it: [Preparing for Model-Driven Apps Dark Mode Icons - Improved](https://pnp.github.io/blog/post/preparing-for-dark-mode-model-driven-app-icons-improved/).
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## Dark Mode
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Dark mode has become increasingly popular in software applications, providing a sleek and eye-friendly alternative to the traditional light theme. While it’s not officially available for model-driven apps, you can experiment with it by adding a simple URL flag. In this post, we’ll delve into the impact of dark mode on icons in model-driven apps.
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## Contents
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-[TL;DR](#tldr)
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-[Contents](#contents)
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-[Introduction](#introduction)
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-[Step 1: Record the Workshop, then Annotate in Stream](#step-1-record-the-workshop-then-annotate-in-stream)
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-[Step 2: Add New User Stories in DevOps](#step-2-add-new-user-stories-in-devops)
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-[Step 3: Create DevOps Wiki Page](#step-3-create-devops-wiki-page)
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-[Tracing from the User Story to the Recording](#tracing-from-the-user-story-to-the-recording)
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-[Postscript](#postscript)
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---
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## Introduction
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This post provides guidance on how to achieve effective traceability between workshop recordings and the corresponding Azure DevOps User Stories. This approach enables users to reference the exact part of a workshop where a user story was discussed, facilitating clarification if needed at a later time.
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## Step 1: Record and Annotate in Stream
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## Step 1: Record the Workshop, then Annotate in Stream
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Record the workshop (preferably with transcription turned on, even better with access to Copilot).
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Once the recording has been saved, move from Teams to Stream.
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Once the recording has been saved, move from Teams to Stream using the 'Watch in browser' button.
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NOTE: if you have Copilot available in Teams or Stream, the reviewed and edited version of the summary can be used as well.
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---
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## Postscript
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Following the initial posting of this, I had the following conversation on LinkedIn with Microsoft MVP [Hamish Shield](https://www.linkedin.com/in/hamishsheild/):
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Hamish:
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Alex McLachlan nice one. I don’t do this as it seems like a lot of work! But I can see how it would be super helpful. I often refer back to workshop recordings. One thing I have been thinking about is how might an AI agent do something like this for us…
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Alex:
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Hamish Sheild that's a very valid point / comment about agents. There are three level to consider here.
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Firstly, your comment about it being a lot of work is very true, but I find I get 2-3 times more value from listening to the workshop recording than just going on memory / notes / Miro board. This enables the resulting user stories to be more complete and more accurate, reducing bugs and re-work. To some extent whether this is appropriate on a project depends on the availability of the SMEs (but have you ever worked on a project where they are as available as you'd like?)
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Secondly, you could use Copilot's summary, together with a prompt along the lines of "extract the requirements from this workshop and express them in the form AS A ... giving links to the start of where they are mentioned". This could be added as wiki content and (after careful review) add them to DevOps.
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Lastly, it would be possible to write an agent to do the second option and add the user stories to DevOps for review there. Personally, I wouldn't currently go for this option at the moment given the level of hallucination in gen AI and the lack of it's ability to have a memory model of what the system is needing to do and context of the rest of the backlog.
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