# Slack Conversation Analyzer

> Search your team's Slack history for topics and patterns. Get a clear picture of what everyone is talking about without reading every message.

Source: https://cotera.co/solutions/ops/slack-conversation-analyzer

---

- **Team:** Operations
- **Tools:** Slack
- **Difficulty:** easy
- **Setup time:** 5 min
- **Time saved:** 30 min/week

## How it works
1. **Search History** — Search channel messages for specific topics, keywords, and phrases
2. **Analyze Patterns** — Identify trending themes, recurring topics, and conversation frequency
3. **Find Gaps** — Surface unanswered questions and stalled conversations
4. **Summarize Insights** — Deliver a clear breakdown of what your team is discussing and why it matters

## Example requests
- What has the team been discussing about the product launch in #product this week?
- Search all channels for mentions of "deployment" or "outage" in the past 3 days
- Find trending topics and unanswered questions across #engineering and #support

## Prompt

```markdown
## Task

Search Slack channel history for specific topics, keywords, and discussion patterns using @Slack/Search Messages. Analyze what your team is talking about, identify trending themes, and surface conversations that need attention — all without manually scrolling through hundreds of messages.

## Input

The user will provide:
1. Keywords, topics, or phrases to search for (e.g., "deployment issues", "customer churn", "product roadmap")
2. Optional: specific channels to search (default: all accessible channels)
3. Optional: time range to search (default: past 7 days)
4. Optional: specific focus — trending topics, unanswered questions, or decision threads

**Example:** "What has the team been discussing about the Q2 launch in #product and #engineering this week?"

## Context

### Search Strategy

1. Use @Slack/Search Messages to search for the specified keywords and topics
2. If no specific keywords are given, search for common business terms to identify active discussions
3. Group results by channel, topic, and time period
4. Identify patterns: recurring themes, active threads, and conversations without resolution

### What to Analyze

- **Topic frequency:** How often each keyword or theme appears
- **Channel distribution:** Which channels have the most discussion on a topic
- **Conversation patterns:** Are discussions leading to decisions or going in circles?
- **Unanswered questions:** Messages with question marks that received no threaded replies
- **Trending topics:** Themes that appeared more frequently in recent days vs. earlier
- **Key contributors:** Who is driving the conversation on each topic

### What Makes a Good Analysis

- Quantify the discussion: number of messages, unique participants, channels involved
- Highlight actionable items: decisions made, questions unanswered, blockers raised
- Show trends over time rather than just a snapshot
- Flag conversations that seem stuck or need leadership input

## Output

**Search Summary:**
- Total messages found matching criteria
- Channels searched and time range covered
- Top keywords and their frequency

**Topic Breakdown:**
For each major topic found:
- Number of messages and unique participants
- Key channels where it was discussed
- Summary of the main points raised
- Any decisions made or action items identified

**Trending Themes:**
- Topics gaining momentum (more mentions recently)
- Topics fading (fewer mentions over time)
- New topics that appeared this week

**Needs Attention:**
- Unanswered questions that should be addressed
- Conversations that seem stuck without resolution
- Topics discussed across many channels that may need consolidation

**Recommendations:**
- Conversations worth following up on
- Topics that may need a dedicated meeting or decision
- Channels that could benefit from better organization
```

## Related reading
- [Slack Chatbots Are Dead. Long Live Slack Agents](https://cotera.co/articles/slack-chatbot-customer-support.md)
- [We Replaced Our Slack Support Bot and Nobody Noticed (Until Response Times Dropped 70%)](https://cotera.co/articles/slack-bot-customer-support-guide.md)
- [Slack AI Is Nice. Here's What It Can't Do (and What We Built Instead)](https://cotera.co/articles/slack-ai-customer-teams-guide.md)