Copilot Feedback - Power User Experience Improvements
As a frequent Copilot user for technical discussions, architecture, governance, Microsoft 365, Power Platform, and problem-solving activities, I would like more control over the user experience. Copilot has become a daily productivity tool, but several UI and usability improvements would significantly benefit advanced users. 1. Allow Disabling Suggested Follow-Up Prompts The suggested replies shown below every response may be useful for new users, but for experienced users they often add little value and consume screen space. Please provide an option to: Disable suggested prompts entirely Adjust their frequency or aggressiveness Enable them only for new conversations or learning scenarios 2. Make '/' and '@' Shortcuts Configurable The automatic triggering of slash commands and @ mentions while typing can be disruptive and may interrupt or replace text unexpectedly. Please allow users to: Disable these shortcuts Configure alternative trigger characters Require a keyboard shortcut before activating them 3. Add a Power User Mode Consider introducing a dedicated Power User Mode featuring: No suggested prompts Reduced UI clutter Compact layouts Fewer interruptions while typing Advanced customization options A productivity-focused experience 4. Compact Conversation View Long technical conversations can become difficult to navigate due to excessive spacing and scrolling. Please provide: A compact view option Reduced vertical whitespace More conversation content visible on screen 5. Conversation Search Many conversations contain valuable information that users want to revisit later. Please add the ability to: Search within a conversation Search code snippets and formulas Search by date or topic Quickly jump to matching results 6. Pin Important Messages Allow users to pin key answers, code snippets, formulas, decisions, or reference messages within a conversation so they can be easily found later. 7. Enhanced Copy Experience For technical users working with Power Apps, Power Automate, SQL, PowerShell, and other technologies: One-click copy for all code and formulas Preserve formatting during copy operations Support copying multiple related blocks together 8. User-Defined Response Profiles Allow users to create and switch between response styles such as: Technical Troubleshooting Power User Learning Mode Executive Summary Architecture Review This would reduce the need to repeatedly explain personal preferences. 9. Memory Transparency and Management Allow users to: View all stored memories and preferences Edit or delete individual memory items Temporarily disable specific memories Understand which memories are influencing responses This would improve transparency and trust. Summary Copilot is evolving from a simple chat tool into a professional productivity platform. Providing greater control over the interface, shortcuts, suggestions, memory, and conversation management would allow experienced users to tailor the experience to their workflow while preserving the current experience for those who prefer more guidance. Thank you for considering these improvements.
Confusion between Gemini and Copilot
Microsoft Copilot and Google Gemini are sending me mixed signals on whether MAI’s Phi (Microsoft’s on-device small language models) models support LoRA adapters or any sort of community fine tuning. Copilot is saying no, and Gemini is saying yes. I need to talk with real Microsoft engineers to confirm with Microsoft if their Phi models support LoRA adapters or not.
Can Copilot help create development plan suggestions after a review?
After performance reviews, we want managers to turn feedback into practical development plans, but the quality is inconsistent. Some managers write clear next steps, others keep it very generic. Has anyone used Copilot or another AI workflow to suggest development actions based on review feedback, goals, or competencies? Could I build an agent specific to this? Could I create a subskill that standardizes this? Should I go for something third party?
Can I set up an automated employee recognition system with copilot?
My manager asked me to look into whether Copilot can help us build some kind of employee recognition program inside Teams. It could include anniversary and birthday recognitions, or even recognitions sent based on achievements and milestones? Can I connect it with Praise? Or set up automations with power automate? Am I overengineering something I can pawn of to something third party?
Can Copilot generate meaningful insights from 1:1 meeting history?
Someone on our leadership team wants to know if Copilot can analyze patterns across a manager's 1:1 meetings. Like, if an employee has been bringing up workload concerns for 3 months straight, can Copilot flag that? Right now all our 1:1 notes are spread across different Loop pages and OneNote sections. Even if we consolidated them, im not sure Copilot can do trend analysis on that kind of unstructured data. Anyone tried this?
Can Copilot help summarize employee feedback and review data?
My boss asked me to look into whether Copilot can help managers prep for performance reviews. Like, instead of reading through months of feedback and notes manually, could Copilot pull together a summary of key themes from peer feedback, goal progress, and past 1:1 notes? If we keep all of these on Sharepoint, can we prompt Copilot to automatically access and summarize them? Do we need to build something custom for this or are there apps in the M365 ecosystem that already have AI built in for this kind of thing?
Succession Planning in Microsoft 365?
Hi everyone. I'm looking to implement some of our core HR practices like performance management, talent reviews, natively inside our Microsoft 365. The one that challenges me the most currently is succession planning. Do you think I can set something up where managers can evaluate succession candidates through Copilot, build succession plans on SharePoint, etc? Does anyone have any experience with this? I am also open to suggestions for any succession planning apps or software if doing it manually could be too complicated. However in that case, it would have to be a pretty native integration.Can Microsoft Frontier Program Copilot Cowork Agent Delegate Tasks to Other Copilot Agents?
Hi everyone, I'm currently exploring the capabilities of Copilot Cowork that is available through the Microsoft Frontier Program, and I'm trying to understand whether a multi-agent orchestration pattern is officially supported. My Use Case I want users to interact with only a single, central Copilot Cowork agent. For example: User asks the Cowork agent to create or update a Jira ticket. Instead of Cowork handling the Jira operation directly, it delegates or hands off the task to a dedicated Jira Copilot Agent. The Jira agent performs the required actions and returns the result. The Cowork agent then presents the final response back to the user. Similarly, I would like to have specialized agents for: Jira ServiceNow Knowledge Management HR Operations Internal IT Support Other business systems The goal is to have Cowork act as an intelligent orchestrator/router while specialized agents handle domain-specific operations. Questions Is agent-to-agent delegation or handoff officially supported in Copilot Cowork (Frontier Program)? Can Cowork directly invoke another Copilot Studio agent? Is there any built-in multi-agent orchestration framework available today? If this is supported, what is the recommended architecture and implementation process? If it is not currently supported, what workarounds are people using? Power Automate? Agent as a tool/action? Custom APIs? Azure AI Foundry / Azure AI Agent Service? Other approaches? I'm specifically looking for guidance from anyone who has worked with Copilot Cowork in the Frontier Program, since the documentation and public examples seem to focus mostly on standalone agents. Any insights, architecture diagrams, documentation links, or real-world experiences would be greatly appreciated. Thanks!Copilot in Edge needs direct export integration
While using Copilot in Microsoft Edge, I noticed a key limitation: there is no option to directly save or export text snippets or summaries to OneDrive, Word, or OneNote. Users must copy manually, which breaks the reading flow and reduces productivity. Competitor comparison: Claude → PDF export, integration with Notion and Drive ChatGPT → PDF/DOCX export, integration with Google Drive Gemini → Automatic export, integration with Google Drive Copilot (Edge) → Only copy/paste or browser PDF, no native integrationArchitectural: Copilot should detect missing source data, avoid inference, and surface uncertainty.
Users expect the AI to detect when it lacks source data, avoid inference, surface uncertainty, and adapt to environmental constraints like character normalisation. These behaviours materially improve trust and usability. I’ve been working with Copilot on structured data extraction from a PDF and noticed a behaviour that seems like an architectural gap rather than a simple bug. Copilot attempted to infer table structure from a template when it did not have access to the actual source data. It produced confident but incorrect output instead of signalling that the source was unavailable. Additionally, Copilot attempted to output TAB‑delimited data, but the MS365 environment silently normalised TABs to spaces, and Copilot did not detect or adapt to this constraint. Recommendation: Copilot should proactively: detect when it lacks source data avoid inference when accuracy is expected surface uncertainty explicitly detect environment‑specific formatting limitations (e.g., TAB stripping) adapt output formats automatically These behaviours would materially improve trust, reliability, and user experience.
