Where do your leads go to die?
When marketing and sales define “qualified” differently, both are right and revenue loses — good leads get dropped, bad ones recycle, and nobody can prove which. Tick what your handoff actually has and see your alignment, then take the shared standard.
How aligned are your MQL and SQL definitions today?
Tick what is genuinely in place and instrumented — not what lives in a deck from last year’s offsite.
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Your MQL/SQL alignment standard
This is what an aligned, self-improving handoff enforces. Agree the definitions, then make acceptance and rejection required steps in the one system that routes the lead.
The catch: —
If marketing and sales define “qualified” differently, both are right and revenue loses.
A shared, instrumented lead definition that flows across connected systems is where Process Standardization meets Integration Architecture. The assessment scores both. See where the seam in your funnel is.
What happens when marketing and sales disagree on lead definitions
When "MQL" means three different things across marketing, sales, and customer success, every metric downstream is unreliable: conversion rates, pipeline attribution, cost per lead, and every AI tool that scores or routes leads. This tool diagnoses the seam between marketing and sales and generates a shared, instrumented lead-handoff standard.
The aligner walks you through the criteria each team currently uses to define a qualified lead, surfaces the gaps, and produces a one-page alignment document with specific, observable criteria for both MQL and SQL. The output is something you can implement in your marketing automation and CRM the same week.
Who this tool is for
RevOps leaders mediating between marketing and sales on lead quality disputes. Marketing operations managers whose MQL numbers do not match what sales reports. Anyone implementing AI lead scoring who needs consistent historical labels for the model to learn from.
How to interpret your results
If your teams diverge on more than two criteria, the misalignment is significant enough to distort funnel metrics and AI model accuracy. Use the generated alignment document as the agenda for a 60-minute cross-functional session. The goal is a shared one-page definition that both teams sign off on and that can be enforced programmatically in your CRM.
This tool maps to the Process Standardization dimension of the AI-Ready RevOps Framework. For a broader assessment, take the free assessment.
Related articles
MQL vs SQL: why your marketing and sales teams use different definitions · Lead handoff SLAs that actually work