Topic Miner Below is the same format style as your sample so you can copy-paste directly into BookStack . I structured it exactly the same way (tables, headers, navigation, UI fields, workflows, etc.) and focused on Topic Miner , which you mentioned specifically. Topic Miner (Genesys Cloud Quality & Performance Management) Section Description Module Context Part of Quality Management / Speech & Text Analytics / Workforce Engagement Management (WEM) Admin Location Admin → Quality → Topic Miner Purpose Automatically analyze voice and digital interaction transcripts to discover trending phrases and conversation topics for quality monitoring and analytics Topic Miner uses speech and text analytics transcripts to detect frequent phrases and emerging topics in customer interactions. These discovered phrases help administrators build Topics and Programs used for advanced analytics and quality insights. Topic Miner reduces the need for manual transcript analysis by automatically identifying repeated customer or agent phrases across interactions. Study Notes Topic Explanation Transcript Mining Topic Miner scans interaction transcripts to detect patterns Phrase Detection Automatically identifies frequent words or phrases Topic Creation Suggested phrases can be converted into Topics Queue Selection Mining can target specific queues Language Processing Mining supports language-specific models Data Source Uses transcripts generated from Speech & Text Analytics Key behavior: Topic Miner can analyze voice and digital interactions . Mining jobs require Speech & Text Analytics transcription enabled . Mining jobs can target up to 5 queues simultaneously . Results help create Topics used in Programs for conversation analytics . Navigation Task Navigation Launch Topic Miner Admin → Quality → Topic Miner Create mining job Admin → Quality → Topic Miner → New Miner View mined topics Admin → Quality → Topics Configure analytics programs Admin → Quality → Programs Enable transcription Admin → Quality → Speech & Text Analytics → Settings Configuration Fields (UI Form Fields) Topic Miner Creation Page UI Field Description Real Options Miner Name Unique name for mining job Text field Language Language model used for transcript analysis English / Spanish / French / German / Portuguese Data Source Source of transcript data Genesys Cloud Date Range Start Start date for interactions to analyze Date selector Date Range End End date for interactions to analyze Date selector Media Type Interaction type to mine Voice / Chat / Message / Email Queues Select queues to analyze Up to 5 queues Include Internal Participant Include agent speech in mining Toggle Include External Participant Include customer speech in mining Toggle Minimum Phrase Frequency Minimum occurrences required for phrase detection Numeric field Start Miner Start mining job Button Cancel Cancel configuration Button Topic Miner Results Page UI Field Description Options Phrase Phrase detected in transcripts Read-only Occurrences Number of times phrase appears Read-only Confidence Score Confidence of phrase detection Read-only Create Topic Convert phrase into analytics topic Button Ignore Phrase Remove phrase from suggestions Button Filter by Frequency Filter results by occurrence threshold Numeric Search Phrase Search within discovered phrases Text field Dependencies Component Purpose Speech & Text Analytics Generates transcripts used for mining Interaction Recording Required for voice transcript generation Topics Created from mined phrases Programs Package topics into analytics frameworks Queues Define interaction scope for mining Platform Integration / Related Components Component Relationship Speech Analytics Provides transcript data Topics Created from mined phrases Programs Combine topics for business analytics Sentiment Analysis Evaluates conversation sentiment Interaction Analytics Displays topic trends and phrase insights Related Topics / Further Reading Topic Description Speech & Text Analytics Transcript generation and conversation analysis Topics Phrase pattern definitions Programs Collections of topics mapped to queues Sentiment Feedback Improve sentiment detection accuracy Evaluation Forms Used for interaction quality scoring Implementation Checklist Task Status Enable speech transcription ☐ Configure analytics settings ☐ Run Topic Miner job ☐ Review mined phrases ☐ Convert phrases to topics ☐ Create analytics programs ☐ Map topics to queues or flows ☐ Implementation Guide Step Action Step 1 Enable Speech & Text Analytics transcription Step 2 Navigate to Admin → Quality → Topic Miner Step 3 Click New Miner Step 4 Configure language and data source Step 5 Select date range and media type Step 6 Choose up to 5 queues Step 7 Start mining job Step 8 Review discovered phrases Step 9 Convert phrases into topics How to Implement Phase Description Analytics Setup Enable speech transcription Phrase Discovery Run Topic Miner job Topic Definition Convert phrases into topics Analytics Deployment Add topics to programs Workflow Customer Interaction ↓ Interaction Recording ↓ Speech-to-Text Transcription ↓ Topic Miner Analysis ↓ Phrase Discovery ↓ Create Topics ↓ Add Topics to Programs ↓ Conversation Analytics Architecture Diagram Customer Interaction ↓ Genesys Cloud Interaction Recording ↓ Speech & Text Analytics Engine ↓ Transcript Storage ↓ Topic Miner ↓ Phrase Discovery ↓ Topics ↓ Programs ↓ Analytics Dashboard Real Flow Scenarios Scenario 1 – Identifying Common Customer Complaints Customer Calls Support ↓ Transcript Generated ↓ Topic Miner Detects Phrase "cancel subscription" ↓ Admin Creates Topic ↓ Topic Added to Billing Program Scenario 2 – Detecting Product Issues Customer Chat Interaction ↓ Transcript Generated ↓ Topic Miner Detects Phrase "login error" ↓ Topic Created ↓ Used in Analytics Dashboard Usage Scenarios Scenario Description Customer complaint analysis Identify recurring issues Product feedback Detect product problems Compliance monitoring Detect compliance phrases Sales analytics Identify buying intent phrases Implementation Examples Example Configuration Support center mining Voice interactions from support queues Billing analysis Chat transcripts from billing queue Sales insights Mine phrases indicating purchase intent Design Example Customer Support Interaction ↓ Speech Analytics Transcript ↓ Topic Miner Detects Phrase ↓ Topic Created ↓ Topic Added to Support Program ↓ Analytics Dashboard Shows Trends Best Practices Practice Reason Mine queues separately Improves topic accuracy Run mining jobs periodically Capture emerging issues Review phrase suggestions Avoid irrelevant topics Use descriptive topic names Improve analytics clarity Combine topics into programs Organize analytics insights Naming Convention Resource Example Topic Miner Job Support_Phrase_Mining Topic Billing_Dispute Program Customer_Experience_Insights Naming pattern: __Mining Security Considerations Control Description Role-Based Access Limit analytics configuration access Transcript Privacy Protect customer conversation data Data Retention Policies Control transcript storage duration Encryption Secure transcript storage Limitations / Constraints Constraint Description Maximum queues per mining job 5 Requires transcription Speech & Text Analytics must be enabled Transcript retention Limited to analytics data retention policies Language model dependency Mining accuracy depends on language model Troubleshooting Issue Cause Resolution No phrases detected Transcription disabled Enable Speech & Text Analytics Mining job fails Invalid date range Verify interaction data exists No queues available Queue permissions missing Assign admin role Topics not appearing Topic not created from phrase Convert phrase to topic Interview Cheat Sheet Question Answer What is Topic Miner? A tool that analyzes transcripts to discover frequent phrases What does Topic Miner use as input? Speech & text analytics transcripts How many queues can be analyzed per mining job? 5 What happens after phrases are discovered? They can be converted into Topics Where are Topics used? In Programs for conversation analytics Key Takeaways Topic Summary Topic Miner Detects recurring phrases from transcripts Topics Represent conversation themes Programs Organize topics into analytics groups Speech Analytics Provides transcript data Phrase Mining Helps discover customer trends Screenshots