
A Microsoft MVP 𝗁𝖾𝗅𝗉𝗂𝗇𝗀 develop careers, scale and 𝗀𝗋𝗈𝗐 businesses 𝖻𝗒 𝖾𝗆𝗉𝗈𝗐𝖾𝗋𝗂𝗇𝗀 everyone 𝗍𝗈 𝖺𝖼𝗁𝗂𝖾𝗏𝖾 𝗆𝗈𝗋𝖾 𝗐𝗂𝗍𝗁 𝖬𝗂𝖼𝗋𝗈𝗌𝗈𝖿𝗍 𝟥𝟨𝟧
In a clear YouTube walkthrough, Daniel Anderson [MVP] demonstrates how a single SharePoint button can launch a personalized Copilot workflow for different users. He calls the feature Contextual Buttons and shows how wiring a SharePoint button to a Copilot prompt generates a personal HTML report scoped to the person who clicks it. For example, one click returns a dashboard with 50 items for Frankie while the same click returns 43 items for the presenter, illustrating how the same action adapts to each user’s context. The video frames this capability as a shift from a generic AI entry point to one-click, in-place AI actions inside SharePoint.
Anderson walks through the setup and explains how the Button web part can use the action called Open Copilot in SharePoint. By pasting a prompt into the button’s properties, authors can place the button on any page so that each click launches Copilot with the stored prompt in the clicking user’s context. He also notes that the prompt field can call a Skill, which means a single button can trigger a multi-step standard operating procedure (SOP) tailored to the clicking user. This approach aims to let site authors expose repeatable, guided AI tasks directly on pages without forcing users to open a full Copilot pane first.
The core idea is simple but powerful: the button sends the same instruction to Copilot, and Copilot responds according to the user’s access, role, and the current page or selection. In the video, Anderson demonstrates that the same prompt returns different results because Copilot scopes its work to what that user can see and do in the site. Therefore, personalization happens automatically based on permissions and content context rather than on separate prompt variations. This reduces the need for site authors to create multiple flows for different users.
Moreover, the presenter shows how invoking a Skill from the button enables more complex behavior than a single question. Skills let authors define multi-step procedures that run in the clicking user’s context, which can include data collection, formatting, and output generation like an HTML report. Anderson also references a lightweight architecture he calls SHAREPOINT.md to explain how buttons, skills, and the platform layer fit together. In short, buttons act as the invocation surface while Skills scale and formalize the logic behind each action.
He also covers small but important details such as styling and user experience. The Button web part supports styles like pill shape, hover effects, and icons so the call-to-action fits the page design and is easy to spot. Additionally, the video shows Copilot enriching outputs with user profile pictures and other contextual touchpoints, making generated reports feel personalized. These UI choices matter because discoverability and trust increase when users see familiar elements in AI-generated results.
Anderson structures the video into short chapters that guide viewers through setup, testing, and polishing. He begins by pasting the prompt into the Button properties, then demonstrates the first proof — two users receiving different sized item lists — and finally wires the button into a page. The demo proceeds to show styling options, invoking Skills, and ultimately producing a personal HTML report with one click, which helps viewers see the whole flow end-to-end.
Throughout the walkthrough, he emphasizes practical steps and tradeoffs, such as where to store prompts and when it makes sense to call a Skill instead of a simple prompt. The demo is useful for teams that want repeatable actions like summarizing documents, creating user-scoped dashboards, or launching guided Q&A sessions. By showing concrete before-and-after examples, the video makes it easier for SharePoint authors to envision adding these buttons to real pages.
The main benefits are faster actions and reduced friction, since users do not have to leave the page or figure out how to frame a question for Copilot. Site authors can expose guided AI features for routine work — for instance, summarizing a page, analyzing a list, or launching a tailored review workflow — and ensure consistency across users by controlling the prompt or Skill. This boosts productivity because users get targeted results without navigating away from their content.
In addition, the Floating Button concept and file-preview entry points make Copilot more discoverable and context-aware. When Copilot adapts to page type, selection, and role, recommendations and prompts become relevant more often, improving user confidence in AI suggestions. Over time, these one-click patterns could change how teams embed AI into daily processes across SharePoint sites.
Despite the gains, there are tradeoffs to balance. The feature depends on licensing and rollout status, so some users may not see contextual actions until their tenant or license supports Copilot in SharePoint. Site authors must plan for uneven availability and design fallback experiences for unlicensed users to avoid broken workflows.
Permissions and data scope introduce another set of challenges because Copilot’s outputs are intentionally limited to what each user can access. While this improves security, it can produce different results across users that complicate standardization and auditing. Organizations must therefore address governance, testing, and monitoring so that prompts and Skills behave consistently and meet compliance requirements.
Finally, teams should balance ease of use with operational control: simple one-click actions increase adoption, but they also require careful prompt design, testing, and maintenance of Skills. As Anderson concludes, this move turns Copilot from a separate chat pane into a contextual action layer inside SharePoint, and organizations will need to watch adoption, licensing, and governance as they roll these features into production.
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