# Understanding Your Meeting Analysis Every recorded meeting in Lusha Conversations gets a dedicated Meeting Analysis page. This is where you review what was discussed, what needs to happen next, and how the conversation performed — without needing to replay the full recording. ## How to access Meeting Analysis 1. Go to **Engagement → Conversations** in the left navigation bar. 2. Click on any meeting in your table to open its full analysis. ## What's on the Meeting Analysis page ## Meeting Summary An AI-generated overview of the meeting's key discussion points — what was covered, what stood out, and the general direction of the conversation. Use this to quickly brief yourself before a follow-up call or to share context with a colleague. ## Risk Indicators AI-identified signals that could affect the deal. These include unresolved objections, competitor mentions, lack of urgency, missing next steps, and budget or decision-making roadblocks. Risk indicators appear as highlighted flags you can review and act on. ## Action Items A table of follow-up tasks automatically extracted from the conversation — commitments made during the call, by you or the prospect, with context about what was agreed. Review these after every meeting to make sure nothing falls through the cracks. ## Discussion Chapters The meeting is broken into labelled topic sections — for example, Discovery, Pricing, or Next Steps — based on how the conversation naturally shifted. Click any chapter to jump directly to that point in the recording instead of scrubbing through the full video. blockquote 💡 Note: Each chapter includes a **copy button** so you can extract a clean summary to share with stakeholders — your internal comments and analysis stay private. ## Transcript A full, searchable transcript of the meeting. You can filter for questions, specific speakers, or keywords. Questions are automatically identified and marked on the timeline — hover to preview or click to jump to that moment. ## Engagement Metrics A breakdown of talk time by participant — how much each person spoke as a percentage of the total call. Lower rep talk time typically means more tableening, which is a useful coaching signal. These metrics appear in the analysis and feed into the **Insights** tab across your team. ## Coaching Tab Available in the top-right corner of the analysis page. The Coaching tab surfaces deeper verbal communication metrics — including filler word frequency, monologue duration, and questions asked — to support performance reviews and targeted feedback. See [Coaching Your Team with Lusha Conversations](/user-guide/team-and-administration/coaching-your-team-with-lusha-conversations) for how to use this data in your 1:1s. ## Meeting types Each meeting is automatically classified by type — for example, Introduction with Demo, Qualification, Commercial Discussion, Technical Session, or Stand-Up/Catch-Up. Meeting types help you filter and compare performance across similar call formats in the Insights tab. Admins can edit and customise AI-assigned meeting types from the Meeting Analysis page or the main Conversations dashboard. ## Linking to a deal If the meeting is associated with a Salesforce account, a **View deal** link appears in the meeting row and on the analysis page. Click it to navigate directly to the related CRM opportunity. See [Deal View in Lusha Conversations](/user-guide/using-the-platform/deal-view-in-lusha-conversations) for how matching works. ## Sharing a meeting analysis - **Share internally** — copy the unique meeting URL to share with any team member. All account members can access recordings automatically. - **Share externally** — generate a secure, time-limited sharing link for clients or partners (7, 14, 30, or 90 days). External recipients see the meeting summary and transcript only — your internal comments and analysis remain private. You can optionally protect the share with a password. - **Tag teammates** — use @mentions in the comments to tag a colleague at a specific moment. They'll receive an email with a direct link to that point in the recording. blockquote 💡 Note: AI summaries are generated automatically and are **never** used to train Lusha's models. See [Lusha Conversations — Data Security and Compliance](/user-guide/trust-and-compliance/lusha-conversations-data-security-and-compliance) for details. You're all set — every meeting now works harder for you.