Total Intercom support conversations created per day, summed over a rolling 7-day window. Source: Intercom API conversation search.

Conversations grouped by AI-classified product area (e.g. SA, CA, OTTO SEO, LinkLaboratory, SignalGenesys). Each band shows that product's trailing 7-day volume. Source: LLM classification of Intercom conversations.

Conversations flagged as billing-related by AI classification, shown as a trailing 7-day rolling sum. Source: LLM classification of Intercom conversations.

Conversations grouped by thread type (e.g. question, bug report, feature request), each shown as a trailing 7-day rolling sum. Source: LLM classification of Intercom conversations.

Conversations grouped by sentiment (positive, neutral, negative). Trailing 7-day rolling sum. Source: LLM sentiment analysis of Intercom conversations.

Conversations classified with negative sentiment, broken down by product category. Trailing 7-day rolling sum. Source: LLM sentiment analysis of Intercom conversations.

Sentiment breakdown per product category for all analyzed Intercom conversations. Source: LLM sentiment analysis.

Total messages in partner Slack channels per day, summed over a rolling 7-day window. Source: Slack API message history from #partners-* channels.

Partner threads grouped by AI-classified product area (e.g. SA, CA, OTTO SEO, LinkLaboratory, SignalGenesys). Trailing 7-day rolling sum. Source: LLM classification of Slack feedback threads.

Partner messages grouped by AI-assigned feedback type (e.g. bug, feature request, praise). Trailing 7-day rolling sum. Source: LLM classification of Slack messages.

Partner messages grouped by sentiment (positive, neutral, negative). Trailing 7-day rolling sum. Source: LLM sentiment analysis of Slack messages.

Sentiment breakdown per product category for all analyzed Slack partner threads. Source: LLM sentiment analysis.

Message volume per partner channel, each shown as a trailing 7-day rolling sum. Source: Slack API message history.