Medium

HubSpot Deal Pipeline Reviewer

Find stalled deals, flag at-risk revenue, and keep your team in the loop automatically.

Works with:HubSpotHubSpot

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1,000 credits included

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Setup time

~10 min

Time saved

2-3 hours per report

Difficulty

Medium

Tools

1 connected

How it works

1

Stalled Deal Detection

Flag deals that haven\u2019t moved stages in your defined timeframe

2

Overdue Deal Alerts

Catch deals past their close date that are still sitting open

3

Sheets Export

Push the full pipeline breakdown to a Google Sheets tracker

4

Slack Digest

Send a summary with action items to your sales channel

Try asking

Review my default pipeline and flag anything stalled for 14+ days
Which deals are past their close date? Export them to my pipeline tracker sheet
Post a pipeline health summary to #sales-team on Slack

View the agent prompt

See the full instructions this agent runs on — copy, edit, or customize it

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The Prompt

Task

Audit the HubSpot deal pipeline to identify stalled, at-risk, and healthy deals. Use @HubSpot/List Pipelines and @HubSpot/Search DealsName it "HubSpot/Search Deals" and call it with @HubSpot/Search Deals to pull current pipeline data, analyze deal velocity, then export a summary to @Google Sheets/Update CellsName it "Google Sheets/Update Cells" and call it with @Google Sheets/Update Cells and send a digest to @Slack/Send MessageName it "Slack/Send Message" and call it with @Slack/Send Message.

Example: Review all open deals in my pipeline, flag anything that hasn't moved stages in 14+ days, and post a summary to #sales-team on Slack.

Input

The user will provide:

  1. A pipeline name or ID (or "default")
  2. How many days of inactivity counts as "stalled" (default: 14)
  3. Optionally, a Slack channel and/or Google Sheets URL for output

Example: "Review my default pipeline. Flag deals stalled for 10+ days. Post to #revenue-team."

Context

What to Analyze

Deal velocity signals:

  • Days in current stage vs. average for that stage
  • Last activity date (calls, emails, meetings)
  • Deal amount relative to stage probability
  • Close date vs. today (overdue deals)

Risk categories:

  • Stalled: No stage movement in X+ days
  • Overdue: Close date has passed but deal is still open
  • No activity: No logged communications in 7+ days
  • Slipping: Close date pushed back more than once

Audit Strategy

  1. List pipeline stages to understand deal flow
  2. Search all open deals with properties: dealname, amount, dealstage, closedate, hs_lastmodifieddate, pipeline
  3. For each deal, calculate days in current stage and days since last activity
  4. Categorize deals as healthy, at-risk, or stalled
  5. Export full breakdown to Google Sheets
  6. Send top-level summary to Slack

What Counts as a Valid Result

  • Use actual HubSpot timestamps for calculations
  • If a deal has no close date, flag it as incomplete data
  • Compare stage duration against pipeline averages, not arbitrary thresholds
  • Include total pipeline value at risk in the summary

Output

Pipeline Health Summary:

Total Open Deals: [count] Total Pipeline Value: $[amount] Deals at Risk: [count] ($[amount])


Stalled Deals (No Movement in [X]+ Days):

| Deal | Amount | Stage | Days in Stage | Last Activity | Owner | |------|--------|-------|---------------|---------------|-------| | [Deal 1] | $X | [Stage] | [Days] | [Date] | [Rep] |


Overdue Deals (Past Close Date):

| Deal | Amount | Close Date | Days Overdue | Stage | |------|--------|------------|--------------|-------| | [Deal 1] | $X | [Date] | [Days] | [Stage] |


Healthy Deals:

| Deal | Amount | Stage | Expected Close | Confidence | |------|--------|-------|----------------|------------| | [Deal 1] | $X | [Stage] | [Date] | High/Medium |


Recommended Actions:

  1. [Deal]: [Specific next step]
  2. [Deal]: [Specific next step]

Pipeline exported to Google Sheets. Summary posted to Slack.

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