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What are the customization options for AI meeting summaries

What are the customization options for AI meeting summaries

AI meeting summaries can be customized by speaker, duration, key points, and sentiment analysis.

Tailored AI Summaries for Diverse Meeting Needs

AI meeting summaries have the potential to greatly increase productivity by offering customizable recaps for any user or context-specific needs. These may include, but are not limited to, information on specific points or insights for decision makers, or concise actionable items for technical staff. Such a vast majority of variations ensures that each particular participant gets the most valuable details in correspondence with their role or possible assistance. The multiple ways to adjust such summaries should cover the following aspects:

  • Customizable by speaker identification. Attributing each particular point to a specific user may become most beneficial in the meetings with multiple speakers. The user of such a summary will be able to discern the conversation and address each particular meeting participant without any confusion, which will bring more value. Nowadays, it has been proven by the recent studies of meeting summaries that the value of speaker identification in the one-hour meeting does not exceed 30% of time saved in reviewing notations.

  • Duration-based. A user can request a summary of any duration that seems helpful. The meeting might be reviewed in full, in a five-minute short recap, or a more detailed half-an-hour exploration of its specific aspects. This way, duration-based summarization should be useful for the users who request brief information after his missing the meeting or those who want to explore the specific issue more thoroughly.

  • Emphasizing the most important points and decisions. Another significant aspect that should be covered concerns highlighting the most valuable details for any user. These may either include bullet points with the prominent calls to action or numbered list of the decided issues or scheduled working activities. This way, further tracking of the team by the user will become easier.

  • Sentiment analysis. Finally, integrating sentiment analysis will allow the participants to understand better the context of the meeting in terms of the emotions involved. For example, such analysis provides data on the concede or disagree mark that may help to understand whether the meeting participants simply talked positively or negatively without any crucial outcomes. Such information should be the most valuable for the settings of negotiations or management of the remote teams.

Steps to Implement AI Meeting Summaries

AI implementation for generating meeting summaries can make your workflow much easier, help to capture all the important outcomes of the discussion, and make your meetings much more productive in general. Here is a comprehensive guide to make the integration of AI-driven meeting summaries in your company as effective as possible.

Choosing the Right AI Tool

Your first step would be to pick the tool that fits your business model best. Some features you might want to look for in your AI software are the possibility to identify speakers, sentiment analysis, key point extraction, and the possibility to adjust the length of the summary automatically . Among the most popular options for such a purpose are huddles.app, Zoom in-built transcription tool, and the meeting summary function of Microsoft Teams. The first tool can provide transcription in real-time and make it easier to make an immediate follow-up.

Integrate It with Your Meeting Platforms

In most cases, the AI summary will easily integrate with existing video conferencing platforms you probably already use. Your next step will be to install an add-on or a plugin and grant the tool access to a video-conferencing session for live transcription.

Adjust Your AI Tool

Before launching it, you also need to customize the AI according to the requirements of your organization. If your team normally discusses complex issues or uses difficult and specific terms applicable to their field, make sure the AI is trained in them or is fitted with the necessary knowledge. Besides, you should also adjust speaker identification and the overall length of the summary to meet the requirements of your regular meetings.

Train Your Team

Don’t forget to train your team to use the tool as effectively as possible. Your training will include guidance on how to start, pause, and stop recording, how to access summaries, and how to provide feedback to enhance the performance of your AI. You should also teach your employees always to speak as clearly as possible, as transcription accuracy is the key aspect of creating high-quality summaries.

Measure the Performance

Finally, measure the performance of your AI-driven summaries and make the necessary annotations. Ask your employees to provide you with feedback on the accuracy of the AI-generated outcomes and whether they find them helpful. Make the necessary adjustments to your AI using this feedback . For example, you can try changing the parameters of the sensitivity of your AI’s speaker recognition mode, or adjust the ranges for sentence clustering. Regular updates will ensure that your AI-generated summaries remain helpful at all times.

Customization Options for Various Meeting Types

There are different types of meetings and for each type of meetings to be specifically summarized in their own way. To build relevant and actionable insights customization is adjusted to meet the peculiarities of each type of meeting.

Project Team Meeting.

Project Team Meeting is the type of meeting where the task updates and actionable elements are described. Summary of such a meeting should be laid on tasks made and the responsibility assigned. My customization is bullet-pointed elements created by AI indicating the task, the responsible person and the timeline. In this way, the members of the project team will easily identify their timeline for action and will be able to review the whole project in this very short summary .

Executive Briefing.

In this type of meeting high-level overview through major outcomes, strategic decisions and top people’s names should be emphasized. To customize the outcome they will be providing major points and significant financials. Also, these notes will be very short like in the above case. The length allows an executive to handle the notes in their reporting busy schedules. The language should also be compact and cautious as the reports are read by the executives.

Client Meeting.

Client meeting includes the needs of the client so the customization should allow presentation of the notes collecting the voice of the client their requirements and the feedback. To be able to do that a customization should be made to record the full voice of the client on what they have requested and what kind of proposal or negotiation they have made. Besides, in this case, the sentiment analysis should be included in order to analyze the reaction of the client to the presented proposal . In this way, the reaction can be used in discovering what else can be proposed to the client or what service can be provided additionally.

Training Session.

Trainings should be focused on teaching but there are several hands that need to be clarified to the training points. And FAQ customization might be useful. The task for the AI is to find and group information in the training session by themes. Also for the short cut, the information can be presented in the list with numbers. The notes can also be enriched by direct quotations of the speakers and explanation, which will be useful for reading for those, who attend the training.

Creative Brainstorm.

Possibly, it is the type of meeting, which needs the most customization as AI is unfortunately far from being creative. This needs should be focused just on possibly this and that brainstorming sessions will be summarized. In this case, the output of notes will be the full list of ideas and the presentations of inspirations and creative ideas they was inspired by. And the response is provided and attitudes or reaction of the audience can be added to follow-up with another creative session.

Tailoring AI to Fit Various Meeting Contexts

To make AI solution work in a meeting, it is essential to adjust it to the type of the meeting. Customization with respect to conclude different type of the meetings ensures the relevance of the information provided, making it useful and actionable. For example, the summary of the strategic planning meeting should include market trends and competition discussion and deal with the question of overall goals and company initiatives. Sales review should take into account the input from the discussion of the actual performance figures relevant numbers and figures should become the focus of the meeting and the summary. HR discussion meetings or recruitment examination meetings should be summarized by action-packed document containing aspects of the case and candidate evaluation and related details such as the interview input and the discussion of the compliance issue. Technical team updates discuss the projects, bugs, and technologies, and the summary should reflect these points in more detailed technical manner.

Configuration for the Strategic Planning Meeting

With the long-term strategies into account, the content of the summary will include the market trends and competition discussion, as well as the overall goals and company initiatives. The strategies and projected success rates should be the focus of the summary. This will be useful for both analytical and project/content focus.

Configuration for Weekly Sales Review

Sales performance in general is the focus of the meeting, which would include the results of the sales review at particular points in time and comments on the market change, client feedback, and alternatives discussed. The action-packed summary of the weekly sales review will lists the issues separately focusing on the facts of sales figures and target figures, as well as actual and future focus on performance.

Configuration for HR and Recruitment

Since the HR discussion meeting or recruitment examination meeting includes reviews of the case and the candidate evaluation, as well as the input from the interview, analysis of the case , and discussion includes the proposition for the course of action, the details should be included in the action-packed summary in a structured manner. The summary should include lists of the issues in a bullet point form.

Targeted Recommendations for Meeting Optimization

The optimization of meetings is critical for increased productivity and ensuring that the time spent during meetings is well-justified. The following recommendations are targeted at different meeting types to optimize them and increase their effectiveness. In particular, there are suggestions for team meeting, decision-making meeting, client meeting, and technical discussions.

Enhancing Engagement in Team Meetings

To maximize the depth of engagement of team members during meetings, I would suggest utilizing AI in the form of real-time tools for interaction and cooperation. These tools would include live polling and Q&A, which could be analyzed by AI for engagement and understanding. The AI could notify me, as the assistant manager, with short summaries after key themes are discussed. This would allow ensuring that team members are engaged and leave the meeting aware of all the important details and their responsibilities.

Streamline Decision-Making Processes

In decision-making meetings, I believe it is critical to streamlight the decision-making process, as pointless discussions would waste time and be inefficient. I would, therefore, use AI to provide me with briefs before the decision-making meeting based on historical data and the outcomes of previous decisions. It would include probable outcomes of each decision made using predictive analytics, which would allow meeting participants to quickly make a well-justified data-based decision.

Client Meeting Optimization for Relationship Management

I would utilize AI to improve client meeting interaction and relationship management. It would provide me with personalized client briefs before the meeting, which includes history of all previous interactions, the clients’ feedback, and the things from previous meetings that the specific client liked or disliked. These summaries would be highlighted to ensure that all information is properly addressed during the meeting and noted during the follow-up.

Technical Discussions with Detailed Follow-Ups

While technical discussions are being held, it is easy to miss some of the key details through information overload. I would, therefore, use AI to provide team members with detailed responses in follow-ups, including step-by-step descriptions of the proposed solution, potential issues, and individual responsibilities.

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