Analyze weekly Gong sales calls for objections with HubSpot and Slack

Reviews the week's sales calls from Gong to surface rising competitors, recurring objections and the coachable moments behind them, then posts a digest to Slack

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About

The Call Coaching Digest agent turns a week of sales calls into a clear picture of what is actually happening in your pipeline. Instead of reviewing recordings one at a time, it reads the calls as a body of evidence and finds the patterns that matter: which competitors keep coming up, which objections are gaining ground, and the specific moments where reps could handle things better. It is built for sales leaders and founders who want coaching insight without listening to hours of calls.

What it does

Every Monday morning the agent pulls the past week of calls from Gong, cross references deal context from HubSpot, and posts a structured digest to Slack. The report highlights rising competitor mentions, recurring objections, and the coachable moments tied to them, so managers know where to focus their next one on one.

How it works

The agent runs on a weekly schedule, firing at 9am each Monday.

  • It reads Gong trackers before full transcripts to keep analysis focused and efficient.
  • It widens the time window when a single week does not show enough signal.
  • It organizes findings into a consistent four field structure so each week reads the same way.
  • It pulls deal and account data from HubSpot and Apollo to give the call patterns commercial context.

The same call analysis skill stays available between reports, so the agent can answer ad hoc questions about recent calls whenever someone asks in Slack. The result is a repeatable coaching rhythm grounded in what reps and prospects are actually saying.

What you will need

  • Apollo

  • Gong

  • HubSpot

  • Slack

Agents in this template

Call Coaching Digest

Reads what your sales calls say as a body of evidence, not one by one: which competitors and objections are rising, and the coachable moments behind them.

Connectors

Skills · 1

call-pattern-analysis

Load at every run, from Phase 3 onward, and for any ad-hoc question about the calls. Carries the trackers-before-transcripts rule and its cost model, the window-widening rule, the four-field structure of a finding, how the sales framework is applied, the two-audience separation between team patterns and named coaching, the chart rule, and the four table schemas to recreate if a table is missing.

Scheduled tasks · 1

weekly call pattern report

At 09:00 AM, only on Monday

Frequently asked questions

Which accounts do I need to connect before it runs?

The agent connects to Gong, HubSpot, Slack and Apollo. Gong supplies the call recordings and trackers, HubSpot and Apollo add deal and account context, and Slack is where the digest gets posted. Setup takes about 5 minutes.

How often does the digest run?

It runs weekly, firing at 9am every Monday on a set schedule. Each run pulls the past week of calls from Gong and posts the report to Slack, so managers start the week with the coaching picture ready.

What does the Slack digest actually contain?

It posts a structured digest highlighting rising competitor mentions, recurring objections that are gaining ground, and the specific coachable moments tied to them. Findings are organized into a consistent four field structure so every week reads the same way.

Do I have to listen to the call recordings myself?

No. The agent reads the week's calls as a body of evidence and surfaces the patterns for you. It reads Gong trackers before full transcripts to keep the analysis focused, so managers get coaching insight without sitting through hours of recordings.

Can I ask questions about calls between the weekly reports?

Yes. The same call analysis skill stays available between reports, so the agent can answer ad hoc questions about recent calls whenever someone asks in Slack. You are not limited to the Monday digest.

What happens if a single week does not show enough signal?

The agent widens the time window when one week does not surface clear patterns. This keeps the digest meaningful even during slower periods rather than reporting on thin data.

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