In Monday’s product meeting, your team decides an onboarding problem is an edge case. Over the next week, another twenty customers contact support about it.
In an engineering review, you discuss a fix. After it ships, customers keep reporting the same issue.
In a leadership meeting, you make simplifying setup a priority. A month later, you want to know whether customers are finding it easier.
Your internal meetings capture decisions, assumptions, and commitments. Customer conversations provide evidence of how those decisions play out.
Today, we’re introducing Rippit’s Granola integration to connect the two.
Rippit’s Granola integration is a read-only connection that lets Rippit, a conversation intelligence platform, search and read your Granola meeting notes while it analyzes your support tickets, chatbot conversations, and other customer data.
Use your internal meeting context alongside customer-conversation analysis. Save the findings as structured data you can revisit. Turn the workflow into an agent that scans, analyzes, and acts on a schedule.
Meeting notes and decisions, read‑only
Why add Rippit if you already use Granola?
Granola already helps you capture meetings, ask questions across them, discover themes, and follow up. Its Recipes (saved prompts), integrations, and workflows give you several ways to put meeting knowledge to work.
Rippit adds a complete analytical workflow around your broader conversation data: coverage of customer conversations such as support tickets and chats, reusable classifications and metrics, and managed recurring analysis.
| What Rippit adds | Why it matters |
|---|---|
| Broader conversation coverage | Bring internal meeting context into investigations of support tickets, chatbot conversations, and other customer data available in your workspace. |
| Structured, reusable analysis | Classify a dataset ingested into Rippit, save the results in columns, and calculate counts, percentages, and breakdowns. |
| Managed recurring work | Package the data scope, analysis, formatting, delivery, and schedule into an Agent App, a saved Rippit workflow that runs on a schedule. |
For example, you might ask Granola what your team decided about onboarding. In Rippit, you can use those decisions to investigate the onboarding problems appearing across your support dataset—and monitor whether they improve.
Start with a question that needs both sources
Imagine your product team has just reviewed next quarter’s roadmap. The priorities and reasoning are captured in Granola. Meanwhile, thousands of support conversations describe the problems customers encounter every day.
You want to know:
“Compare the priorities in our recent product-planning meetings with the issues customers raised in support last month. Which problems are we addressing, and where should we take another look?”
Answering that well takes several steps. The agent needs to understand the internal discussion, analyze the customer data consistently, connect related issues, and give you evidence you can inspect.
Here is how the workflow comes together in Rippit.
1. Bring internal context into customer analysis
Rippit can search and read the Granola meeting notes your connection can access while investigating your customer data.
The meeting notes might explain why your team deferred an onboarding improvement: the problem appeared uncommon, a workaround seemed sufficient, or another issue was more urgent.
The support conversations let you examine those assumptions. Are customers using the workaround successfully? Is the issue becoming more frequent? Are they describing a different problem from the one discussed internally?
This is where the two sources become more useful together. You can evaluate a decision in the context of the reasoning behind it and the customer evidence available now.
2. Turn customer conversations into reusable analysis
Rippit can classify the conversations in a selected, ingested dataset and save the results as structured columns.
For an onboarding investigation, you could create columns for:
- The problem the customer encountered.
- The step where they became stuck.
- Whether a workaround resolved the issue.
- The severity and supporting evidence.
Then calculate how often each problem appears, compare periods, and break the results down by relevant fields.
Those classifications remain available for follow-up questions. If the same definitions fit, you can reuse them to investigate another segment or build a report. If the question changes, you can add the analysis it requires.
Granola supplies the internal meeting context; Rippit supplies the structured analysis of the ingested customer dataset. The connection searches and reads Granola content rather than automatically importing every meeting into a Rippit table.
3. Make the investigation a standing job
Once the analysis is useful, turn it into an Agent App.
For example:
“Every Friday, analyze this week’s onboarding support conversations. Compare the leading issues with our accessible product and engineering meeting notes. Highlight growing problems, customer reports related to documented fixes, and issues with no matching discussion in the meetings checked. Send a brief to the product Slack channel with evidence links.”
Rippit packages the scope, analysis, formatting, delivery, and schedule into a workflow you can inspect and test. Scheduled runs bring fresh customer evidence back into the discussion without someone having to remember to ask.
Agents that scan, analyze, and act on meeting notes and customer conversations
The same approach supports several recurring jobs:
| Agent | Scan | Analyze | Act |
|---|---|---|---|
| Priority alignment | Internal planning notes and the selected customer dataset | Compare roadmap priorities with recurring customer problems | Send a weekly brief with areas of alignment and questions for the next planning meeting |
| Fix follow-through | Documented fix discussions and subsequent customer reports | Identify problems still being reported after a confirmed change | Alert the team with examples that need investigation |
| Emerging issues | New customer themes and accessible internal meeting notes | Identify growing complaints with no matching discussion in the meetings checked | Deliver an escalation brief or create a follow-up issue through an enabled connection |
These agents should make their evidence and scope visible. A missing meeting reference does not prove nobody discussed an issue. A planned fix does not establish that it shipped. When a needed date or decision is missing, the workflow should flag the gap or consult another authorized source.
The goal is to give your team a specific question, the evidence behind it, and a useful next action.
How the Granola integration works
The integration gives Rippit access to meeting search, notes, summaries, attendee details, and source links. Verbatim transcripts are available on eligible paid Granola plans.
Granola access is read-only. Actions such as delivering a Slack report or creating an issue in Linear use separately authorized connections and their enabled permissions.
Available meeting content depends on the connected account, Granola plan, workspace settings, and granted access. Review the notes available through your connection before sharing the connection with your organization. Agent Apps require a Granola connection shared with your organization. Once it’s shared, the Granola content available to the connecting account becomes accessible to your organization through that connection.
See the integration guide and Granola’s access documentation for setup and permissions.
Get started
Connect Granola in Rippit and complete the browser sign-in. On Granola Enterprise, your admin may need to enable MCP (Model Context Protocol) access.
Start with one decision you want to evaluate:
“What did we decide about onboarding in our recent internal meetings, and what are customers reporting about it now?”
Review the evidence, refine the analysis, and turn the version you trust into an Agent App.
Your team keeps making decisions. Your customers keep giving you feedback. Put an agent to work connecting the two.
Sources:Granola Chat, Granola workflows, Granola MCP access, Rippit’s Granola integration, Rippit MCP overview, Rippit Agent Apps, Rippit external connections.
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