Pipeline Pattern Analysis

Find the Pattern You Felt But Never Had Time to Name

Your own history read weekly, with what changed surfaced as a finding rather than a dashboard.

It runs in the systems you already have

  • Salesforce
  • Notion
  • HubSpot
  • Jira
  • Pipedrive
What it looks like

Pipeline Pattern Analysis, once it is built.

You ask in your own words. It does the work in the systems that already hold it, and tells you what it changed.

Anything odd in the pipeline this week?

Three things moved against their own baseline:

  • Deals from referrals closing 2.4× faster than inbound, up from 1.6×
  • Stage-two stall rate up nine points, all in one segment
  • Two accounts gone quiet that historically re-engage in week three

These are patterns, not decisions. Whether any of them means anything is yours.

How it gets built

Connect, describe, run.

The same three steps whatever the process is.

  1. 01

    Connect

    The agent is wired into the systems the work already lives in. Nothing moves and nobody learns a new tool.

  2. 02

    Build

    The rules are described rather than drawn, in the words you already use to make the call.

  3. 03

    Run

    It runs on its own and hands back the decisions that need a person. The handover is designed, not left over.

Questions

What people ask about pipeline pattern analysis

What is it actually looking at?
Your own history — what closed, what stalled, what changed — rather than a benchmark against companies that are not you.
How often does it run?
Weekly, so a change is caught while it is still a change rather than after a quarter of it.
Does it tell us what to do?
No. A pattern is not a decision. It surfaces what moved against its own baseline; whether that means anything is a judgement.

Pick this one, or the one costing you more.