Customer signals from your Telegram community, with account context attached.
Each morning, 340+ messages are filtered to a dozen actionable items -- bug reports, feature requests, complaints -- each tagged with the author's Intercom ticket history and Salesforce account value. A $120K customer's Telegram complaint won't sit unnoticed for days.
Your Telegram community gets read daily, actionable signals extracted, and each message cross-referenced with Intercom tickets and Salesforce account data. Paying customer issues reach the right team same-day.
What changes
| Dimension | Before | With Doe |
|---|---|---|
| Response time to paying customers | Days or never | Same-day with account context and ticket history |
| Pattern detection | Individual messages read in isolation | Duplicate requests grouped and counted across users |
| Account context | No idea who is a paying customer | Every author mapped to account value and support history |
| Signal vs. noise | 340 messages, no way to prioritize | 12 actionable items ranked by business impact |
How Doe builds the community pulse digest
Telegram12 actionable items from 340 messages: 4 bug reports, 3 feature requests (2 requesting the same API pagination feature), 2 migration questions from competitor users, 1 complaint about response times, 2 praise messages.
IntercomThe payment webhook bug reporter has an open P2 ticket about the same issue. 1 feature requester has 3 prior tickets, all about API limitations. 2 message authors have no Intercom history -- likely free-tier users.
Salesforce8 of 12 authors matched to accounts. The webhook bug reporter is on a $120K enterprise plan renewing in 45 days. The API feature requesters include 1 account on a $36K plan and 2 free-tier users. Migration questions come from non-customers.
$120K account bug report flagged critical -- linked to the existing Intercom ticket, renewal context attached. API pagination feature request surfaced as a pattern: 3 independent requests this week, 1 from a paying account. 2 migration inquiries routed to sales as inbound leads. Final digest: 1 critical, 3 high, 8 standard.
Your Telegram community is too noisy to monitor manually
Your dev tools company has a 4,000-member Telegram group. Yesterday there were 340 messages. Buried in the noise: a $120K enterprise customer reported a breaking bug (they didn't file a ticket, they just complained in Telegram), 3 users requested the same API feature independently, and a competitor's customer posted asking about migration. Your community manager skimmed the chat and missed all three.
The enterprise customer who reported the bug in Telegram filed a support ticket 2 days later, frustrated that nobody responded. The CSM had no idea about the Telegram message. The NPS survey went out that same week. Score: 2. The renewal conversation next month just got harder.
Get started in under 10 minutes
Connect your tools
One-click OAuth for each integration. No API keys, no engineering.
Describe what you need
“Read yesterday's Telegram messages in our community group each morning. Flag bug reports, feature requests, and complaints. Cross-reference authors with Intercom tickets and Salesforce accounts. Prioritize by account value.”
It runs on schedule
Every morning at 8:00 AM, the community digest lands with prioritized signals and account context.
Community Pulse Digest FAQ
Doe matches Telegram usernames and display names against contact records in Salesforce and Intercom. For users who registered with the same email in your product and Telegram, the match is automatic. For others, Doe uses name matching and flags low-confidence matches for manual review.
Related workflows
Stop doing the work your tools should do for you.
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