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Rippit Library
Playbooks, research and definitions for analyzing 100% of your conversations with AI.
LATEST NEWS
Introducing Rippit + Fireflies
Read the announcement →
Explore our playbooks
View all playbooks →PLAYBOOK
How to Connect Support Conversation Themes to Revenue and ARR
A step-by-step playbook for tying support conversation themes to ARR, so you can say “$X of ARR touched this issue” instead of “400 tickets.”
PLAYBOOK
How to Track Competitor Mentions Across Sales and Support Conversations
Classify why competitors come up, not just how often, and turn mentions into churn and win-rate signals
PLAYBOOK
AI-Powered Conversation Taxonomies Playbook
How to turn every customer conversation into structured insight
PLAYBOOK
Predictive CSAT & NPS Playbook
How to replace broken CSAT and NPS surveys with predictive scores using AI
PLAYBOOK
The Complete Guide to Conversation Analytics
How to capture, analyze, and act on 100% of your customer conversations
PLAYBOOK
Conversation-Powered AEO Playbook
How to turn customer conversations into content that AI cites
PLAYBOOK
The Complete Playbook for AI Agent Monitoring
How to monitor, diagnose, and improve every conversation your AI agent has
PLAYBOOK
How to Audit AI Chatbot Escalations: A 5-Step Playbook and QA Rubric
Classify every chatbot escalation by root cause, score handoff quality, and fix the ones that were avoidable
PLAYBOOK
How to Mine Product Feedback From Support Tickets and Call Transcripts
Turn support tickets and call transcripts into ranked product feedback themes, with every theme traced to its source
Dive into research
View all research →Research series · 8 parts
The Coverage Benchmark Series
Benchmarking eight approaches to AI conversation analysis on coverage, consistency, cost, and time.
RESEARCH
We Tested 8 Ways to Analyze 1,000 Customer Conversations With AI
The Coverage Benchmark recap: what coverage, consistency, cost and time looked like across all eight approaches
RESEARCH
Load Testing Conversation Analysis in Snowflake
Stress-testing Snowflake and Cortex for conversation analysis at scale
RESEARCH
Querying Transcripts in Snowflake with Claude
Testing whether Claude can analyze raw Snowflake transcripts on its own
Compare your options
View all comparisons →COMPARISON
Rippit vs. Snowflake
Build conversation analysis on Cortex, or use Rippit ready-made
COMPARISON
Rippit vs. Claude
When to use Claude alone, and when to add Rippit
COMPARISON
Rippit vs. Gong
Revenue workflows on sales calls vs. every customer conversation
COMPARISON
Rippit vs. Zendesk
Helpdesk AI and QA vs. analysis of every ticket
COMPARISON
Rippit vs. Qualtrics
Surveys and XM vs. every customer conversation
COMPARISON
Rippit vs. Level AI
Contact center QA vs. analysis across every source
COMPARISON
Rippit vs. Decagon
AI agents vs. analysis of every bot and human conversation
COMPARISON
Rippit vs. Enterpret
Two approaches to customer feedback analytics, compared
COMPARISON
Rippit vs. Glean
Enterprise search vs. reading every conversation
COMPARISON
Rippit vs. Clay
Enriching accounts vs. enriching every conversation
COMPARISON
Rippit vs. Solidroad
Agent training and QA scorecards vs. conversation analysis
COMPARISON
Rippit vs. Attention
Sales call agents vs. analysis of every customer conversation
COMPARISON
Rippit vs. Amazon Connect
AWS contact center vs. analysis of every conversation
COMPARISON
Rippit vs. Talkdesk
Cloud contact center vs. analysis from any source
COMPARISON
Rippit vs. NICE CXone
Enterprise contact center vs. analysis from any source
COMPARISON
Rippit vs. Gumloop
General-purpose AI agents vs. agents built on your conversations
COMPARISON
Rippit vs. Intercom Fin
Helpdesk AI agent vs. analysis of every bot and human chat
COMPARISON
Rippit vs. Sierra
Customer-facing AI agents vs. analysis of every conversation
COMPARISON
Rippit vs. Fireflies
Meeting notes and summaries vs. conversation analysis at scale
COMPARISON
Rippit vs. Granola
AI meeting notepad vs. conversation analysis at scale
COMPARISON
Rippit vs. Unwrap
Product feedback taxonomy vs. analysis of every conversation
COMPARISON
Rippit vs. ChatGPT
General AI assistant vs. analysis of every conversation
COMPARISON
Rippit vs. Gemini
Google's AI assistant vs. analysis of every conversation
COMPARISON
Rippit vs. Grok
xAI's assistant vs. analysis of every conversation
COMPARISON
Rippit vs. CallMiner
Contact center analytics vs. analysis from any source
COMPARISON
Rippit vs. Chattermill
Feedback themes vs. analysis that keeps drilling
COMPARISON
Rippit vs. Cresta
Contact center AI suite vs. self-serve analysis
COMPARISON
Rippit vs. Databricks
Build it yourself vs. ready to use
COMPARISON
Rippit vs. Dust
Knowledge agents vs. conversation analytics
COMPARISON
Rippit vs. evaluagent
Contact center QA vs. analysis from any source
COMPARISON
Rippit vs. Medallia
Survey scores vs. what's driving them
COMPARISON
Rippit vs. Microsoft Copilot
Microsoft's AI assistant vs. analysis of every conversation
COMPARISON
Rippit vs. Observe.AI
Contact center AI suite vs. analysis from any source
COMPARISON
Rippit vs. ScorebuddyCX
QA scoring and coaching vs. analysis from any source
COMPARISON
Rippit vs. Tethr
Contact center analytics vs. analysis from any source
COMPARISON
Rippit vs. unitQ
Feedback categories vs. analysis that keeps drilling
Explore our guides
View all guides →ANSWER
How Do You Detect AI Chatbot Hallucinations in Customer Conversations?
ANSWER
How Do You Find Complaints Hidden in Customer Conversations?
ANSWER
QA Sampling Math: How Many Tickets Do You Need to Review to Catch a 1% Issue?
GUIDE
Conversation-Based Churn Detection vs. Customer Health Scores (2026)
ANSWER
Voice of Customer Without Surveys: How to Analyze What Customers Already Tell You
ANSWER
Compliance QA vs. Compliance Monitoring: What’s the Difference?
GUIDE
Looking at Zendesk QA Alternatives? A Guide to Choosing the Right QA Scope (2026)
GUIDE
Comparing SentiSum Alternatives? A Guide to Choosing Where Your Conversation Analysis Should Live (2026)
GUIDE
Comparing Enterpret Alternatives? How to Evaluate Conversation Coverage in Feedback Tools (2026)
ANSWER
How Do You Evaluate Your AI Support Agent’s Conversations?
ANSWER
Can You Just Export Your Tickets to ChatGPT? What Breaks at Scale
ANSWER
How to Find Out Why Customers Are Contacting Support (at 10k–100k Tickets a Month)
BEST TOOLS
Best Customer Insights Tools for Support Conversations (2026)
ANSWER
Why Does AI Sample Your Customer Conversations, and When Does That Give You the Wrong Answer?
ANSWER
Why Chatbot Containment Rate Misleads, and What to Measure Instead
ANSWER
How to Detect Churn Risk From What Customers Say in Tickets and Calls
ANSWER
How to QA 100% of Support Conversations Instead of 2%
ANSWER
How Fintech Support Teams Monitor 100% of Customer Conversations for Compliance
BUYING GUIDE
How to Let ChatGPT or Claude Answer Questions About Your Customer Conversations
Read company news
View all news →ANNOUNCEMENT
Introducing Rippit + Fireflies
Bring Fireflies meeting transcripts and summaries into Rippit, then put an agent to work finding the patterns your team should act on
ANNOUNCEMENT
Introducing Rippit + Decagon
Analyze Decagon AI conversations alongside human support, then turn what you find into an agent that runs on a schedule
ANNOUNCEMENT
Introducing Rippit + Gong
Connect Gong sales calls with support conversations, then turn the analysis into an agent that runs on a schedule
ANNOUNCEMENT
Introducing Rippit + Granola
Bring Granola meeting notes into customer conversation analysis, then turn it into an agent that runs on a schedule
ANNOUNCEMENT
MaestroQA Is Now Rippit: What Changed, What Didn't
Same founders, a rebuilt AI-first platform, and QA as one of the agents you can build
I have no special talents. I am only passionately curious.
Where conversations become
insights
actionable data
business intelligence
enterprise visibility
insights
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I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times
