Fin Operator gives you direct access to your workspace data — no dashboards to navigate, no filters to configure. Ask a question in plain language and get answers, charts, and conversation analysis in a single thread.
What it can do
Query workspace metrics — Ask about resolution rates, CSAT, conversation volumes, Fin performance, monitor scores, and more. Apply date ranges, filters, and comparisons as needed. Fin Operator pulls from your live data and returns results instantly.
Generate charts and visualizations — Request on-the-fly visualizations of any metric or trend. No need to build a custom report — just describe what you want to see. You can also change the chart type after it's rendered — just ask Fin Operator to switch to a bar chart, line graph, or table view.
Analyze conversation samples — Surface themes and patterns across real conversations in real time. Understand what customers are asking, where Fin is struggling, and where there are gaps in your content or configuration.
Segment and filter — Segment or filter by any dimension important to you, e.g. topic, channel, customer, or any custom attribute.
Monitors and scorecards — Analyze monitor conversations and scorecard results to action improvements.
Inspect individual conversations — Dig into specific conversations to understand what happened, why Fin responded the way it did, and what — if anything — needs fixing.
Note: Real-time conversation analysis is currently capped at 250 conversations per session. This is a technical limit, not a random sample — Fin Operator analyzes the most recent conversations that match your filters.
Example prompts
"How can I improve Fin's performance?"
"Which articles should I improve to improve Fin's performance?"
"Show me the top topics customers contacted us about this month"
"How has CSAT trended over the last 30 days, broken down by channel?"
"What was my resolution rate last week, and how does it compare to the week before?"
"Show me a breakdown of Fin's top conversation topics this month"
"Which topics have the lowest resolution rates?"
"Analyze 50 conversations where Fin was escalated and tell me the most common reasons"
"Show me conversations where customers mentioned a refund in the last 7 days"
Tips for getting good results
Be specific about date ranges. "Last week" vs "last 7 days" vs "March 1-7" can mean different things. Fin Operator will clarify if it's ambiguous.
Specify filters upfront if you know them — channel, team, topic, customer segment. This saves a round trip.
For conversation analysis, describe what you're looking for. "Why are conversations about billing escalating?" gives Fin Operator a clear lens. "Analyze my conversations" is too broad to be useful.
Fin Operator will ask clarifying questions if your request is ambiguous. This is expected and leads to better results.
From insight to action
This is where Fin Operator goes beyond a reporting tool. When the data reveals a problem — a low resolution rate on a specific topic, a CSAT dip on a channel, a spike in escalations — Fin Operator can immediately help you fix it. In the same conversation, it switches to updating content, changing guidance rules, or editing procedures.
You ask: "Why is resolution rate low on billing topics?"
Fin Operator queries the data, identifies a content gap
Fin Operator proposes a new article or updates an existing one to cover the missing information
You review and approve the change
No context switching. No separate tool. The same conversation takes you from finding a problem to shipping a fix.
Known limitations
Real-time conversation analysis is capped at 250 conversation samples per query.
Works with aggregate data and trends — not individual customer records.
Data is scoped to your Intercom workspace only.
Need more help? Get support from our Community Forum
Find answers and get help from Intercom Support and Community Experts