Operations

Slack Onboarding Question Miner

Let repeated questions write your docs backlog.

Reduces onboarding friction by converting recurring Slack questions into concrete documentation and training work.

Best forConsultingProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Searches team channels for repeated questions, missing docs, and confusing processes, then recommends content updates.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior question-mining runs and known knowledge-gap categories from memory. Then pull the message history from all configured onboarding Slack channels for the target time window (last 30 days by default). Extract all messages containing question marks, 'how do I', 'where is', 'what is', 'can someone explain' — capturing message text, sender, timestamp, and whether the question received a reply. Store raw question corpus as Phase 1 output.

slack channel operations agent

Consume Phase 1 question corpus. Cluster questions into themes: (a) tooling and access (how to get credentials, software setup), (b) process and workflow (how things work, who to ask), (c) product knowledge (what does feature X do), (d) people and org (who owns what, team structure), (e) policy and compliance (what are the rules). Identify the top 10 most-repeated question themes by frequency. Flag questions that went unanswered for > 24 hours. Produce a clustered question taxonomy.

knowledge synthesizer

In parallel with knowledge-synthesizer, call verslay_web_search and verslay_news_search targeting 'employee onboarding knowledge gap research' and 'new hire self-service documentation best practices'. Call verslay_reddit_search on r/humanresources and r/recruiting for community-shared onboarding failure patterns. Call verslay_youtube_search for expert talks on onboarding documentation. Pass benchmark findings to Phase 3.

web researcher

Consume Phase 2 question taxonomy. Analyze sentiment patterns in the question threads: identify which clusters show the most frustration signals (repeated asking, long unanswered wait, 'I'm confused' language). Score each knowledge-gap cluster by urgency: high (frequent + frustrated + unanswered), medium (frequent + answered but slowly), low (occasional + resolved quickly). Produce a prioritized gap list.

sentiment analyst

Consume Phase 3 prioritized gap list, Phase 2 question taxonomy, and Phase 2 benchmarks. Call verslay_chart_create to build: (a) a question-volume-by-category bar chart; (b) a 'time to answer' distribution chart by cluster; (c) a knowledge-gap urgency matrix (frequency × frustration score). Map top gaps to recommended documentation or FAQ action owners.

data analyst

Consume Phase 4 charts and gap priority list. Write an onboarding knowledge-gap report: top 10 question clusters with frequency, sentiment, and time-to-answer; recommended documentation additions for each gap (FAQ page, Notion page, Slack bookmark); and a 30-day documentation sprint plan with suggested owners. Call verslay_memorize to store the question taxonomy, gap priorities, and processing timestamp in memory.

executive briefing writer

Receive the onboarding gap report from executive-briefing-writer. Deliver to the configured Slack channel or email the HR and enablement team. Confirm delivery and log send timestamp.

distributor

Required Agents

slack-channel-operations-agent
knowledge-synthesizer
web-researcher
sentiment-analyst
data-analyst
executive-briefing-writer
distributor

Connections

Required

slack

What it does

Repeated question clustering
Documentation gap detection
FAQ draft generation
Training update suggestions
Owner recommendations

Example prompt

Mine Slack for repeated onboarding questions this month. Turn them into FAQ entries and training updates.

Ready to deploy Slack Onboarding Question Miner?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Operations

Slack Onboarding Question Miner

Let repeated questions write your docs backlog.

Reduces onboarding friction by converting recurring Slack questions into concrete documentation and training work.

Best forConsultingProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Searches team channels for repeated questions, missing docs, and confusing processes, then recommends content updates.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior question-mining runs and known knowledge-gap categories from memory. Then pull the message history from all configured onboarding Slack channels for the target time window (last 30 days by default). Extract all messages containing question marks, 'how do I', 'where is', 'what is', 'can someone explain' — capturing message text, sender, timestamp, and whether the question received a reply. Store raw question corpus as Phase 1 output.

slack channel operations agent

Consume Phase 1 question corpus. Cluster questions into themes: (a) tooling and access (how to get credentials, software setup), (b) process and workflow (how things work, who to ask), (c) product knowledge (what does feature X do), (d) people and org (who owns what, team structure), (e) policy and compliance (what are the rules). Identify the top 10 most-repeated question themes by frequency. Flag questions that went unanswered for > 24 hours. Produce a clustered question taxonomy.

knowledge synthesizer

In parallel with knowledge-synthesizer, call verslay_web_search and verslay_news_search targeting 'employee onboarding knowledge gap research' and 'new hire self-service documentation best practices'. Call verslay_reddit_search on r/humanresources and r/recruiting for community-shared onboarding failure patterns. Call verslay_youtube_search for expert talks on onboarding documentation. Pass benchmark findings to Phase 3.

web researcher

Consume Phase 2 question taxonomy. Analyze sentiment patterns in the question threads: identify which clusters show the most frustration signals (repeated asking, long unanswered wait, 'I'm confused' language). Score each knowledge-gap cluster by urgency: high (frequent + frustrated + unanswered), medium (frequent + answered but slowly), low (occasional + resolved quickly). Produce a prioritized gap list.

sentiment analyst

Consume Phase 3 prioritized gap list, Phase 2 question taxonomy, and Phase 2 benchmarks. Call verslay_chart_create to build: (a) a question-volume-by-category bar chart; (b) a 'time to answer' distribution chart by cluster; (c) a knowledge-gap urgency matrix (frequency × frustration score). Map top gaps to recommended documentation or FAQ action owners.

data analyst

Consume Phase 4 charts and gap priority list. Write an onboarding knowledge-gap report: top 10 question clusters with frequency, sentiment, and time-to-answer; recommended documentation additions for each gap (FAQ page, Notion page, Slack bookmark); and a 30-day documentation sprint plan with suggested owners. Call verslay_memorize to store the question taxonomy, gap priorities, and processing timestamp in memory.

executive briefing writer

Receive the onboarding gap report from executive-briefing-writer. Deliver to the configured Slack channel or email the HR and enablement team. Confirm delivery and log send timestamp.

distributor

Required Agents

slack-channel-operations-agent
knowledge-synthesizer
web-researcher
sentiment-analyst
data-analyst
executive-briefing-writer
distributor

Connections

Required

slack

What it does

Repeated question clustering
Documentation gap detection
FAQ draft generation
Training update suggestions
Owner recommendations

Example prompt

Mine Slack for repeated onboarding questions this month. Turn them into FAQ entries and training updates.

Ready to deploy Slack Onboarding Question Miner?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Operations

Slack Onboarding Question Miner

Let repeated questions write your docs backlog.

Reduces onboarding friction by converting recurring Slack questions into concrete documentation and training work.

Best forConsultingProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Searches team channels for repeated questions, missing docs, and confusing processes, then recommends content updates.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior question-mining runs and known knowledge-gap categories from memory. Then pull the message history from all configured onboarding Slack channels for the target time window (last 30 days by default). Extract all messages containing question marks, 'how do I', 'where is', 'what is', 'can someone explain' — capturing message text, sender, timestamp, and whether the question received a reply. Store raw question corpus as Phase 1 output.

slack channel operations agent

Consume Phase 1 question corpus. Cluster questions into themes: (a) tooling and access (how to get credentials, software setup), (b) process and workflow (how things work, who to ask), (c) product knowledge (what does feature X do), (d) people and org (who owns what, team structure), (e) policy and compliance (what are the rules). Identify the top 10 most-repeated question themes by frequency. Flag questions that went unanswered for > 24 hours. Produce a clustered question taxonomy.

knowledge synthesizer

In parallel with knowledge-synthesizer, call verslay_web_search and verslay_news_search targeting 'employee onboarding knowledge gap research' and 'new hire self-service documentation best practices'. Call verslay_reddit_search on r/humanresources and r/recruiting for community-shared onboarding failure patterns. Call verslay_youtube_search for expert talks on onboarding documentation. Pass benchmark findings to Phase 3.

web researcher

Consume Phase 2 question taxonomy. Analyze sentiment patterns in the question threads: identify which clusters show the most frustration signals (repeated asking, long unanswered wait, 'I'm confused' language). Score each knowledge-gap cluster by urgency: high (frequent + frustrated + unanswered), medium (frequent + answered but slowly), low (occasional + resolved quickly). Produce a prioritized gap list.

sentiment analyst

Consume Phase 3 prioritized gap list, Phase 2 question taxonomy, and Phase 2 benchmarks. Call verslay_chart_create to build: (a) a question-volume-by-category bar chart; (b) a 'time to answer' distribution chart by cluster; (c) a knowledge-gap urgency matrix (frequency × frustration score). Map top gaps to recommended documentation or FAQ action owners.

data analyst

Consume Phase 4 charts and gap priority list. Write an onboarding knowledge-gap report: top 10 question clusters with frequency, sentiment, and time-to-answer; recommended documentation additions for each gap (FAQ page, Notion page, Slack bookmark); and a 30-day documentation sprint plan with suggested owners. Call verslay_memorize to store the question taxonomy, gap priorities, and processing timestamp in memory.

executive briefing writer

Receive the onboarding gap report from executive-briefing-writer. Deliver to the configured Slack channel or email the HR and enablement team. Confirm delivery and log send timestamp.

distributor

Required Agents

slack-channel-operations-agent
knowledge-synthesizer
web-researcher
sentiment-analyst
data-analyst
executive-briefing-writer
distributor

Connections

Required

slack

What it does

Repeated question clustering
Documentation gap detection
FAQ draft generation
Training update suggestions
Owner recommendations

Example prompt

Mine Slack for repeated onboarding questions this month. Turn them into FAQ entries and training updates.

Ready to deploy Slack Onboarding Question Miner?

Start free. One click, full agent orchestration.

Get Started Free →