How to Run the 5-Deal DQ Check Across the Company

ai challenges Mar 04, 2026

PROMPT This AI Challenge

"Agentic AI Outcomes: Are You Measuring What Matters?" featuring Martin Schneider

Every episode of the PROMPT This podcast includes an AI Challenge for the audience. Follow the instructions below to complete this episode's challenge.

Every leader says they want discipline.

Very few actually want objective scrutiny.

The 5-Deal DQ Check started in sales. But the underlying principle applies to marketers managing campaigns and project managers running delivery portfolios.

It is a 20–30 minute operating discipline that exposes optimism bias in revenue, pipeline, campaigns, and execution plans.

The premise is simple: AI has no career risk, no sunk cost bias, and no attachment to “work already done.”

If your team cares about predictable outcomes, this becomes a weekly ritual.

The AI Challenge: The 5-Initiative Reality Check

Time Required: 20–30 minutes

Tools Needed: Export 5 active deals, campaigns, or projects

Select five active initiatives that:

Carry material revenue, budget, or strategic weight
Are expected to close, launch, or complete this quarter
Represent different segments, channels, or teams if possible

Then paste the following into your AI tool:

For Sales:

Deal summary
Discovery notes
Close date
Deal size
ICP criteria

For Marketing:

Campaign objective
Target persona
Budget and channel mix
Performance to date
Conversion assumptions

For Project Management:

Project charter or scope summary
Stakeholders and sponsor
Timeline and milestones
Budget status
Defined success criteria

Then run this prompt:

Should we continue pursuing these initiatives? Identify missing qualification or planning elements, risk signals, and recommend continue, fix, or stop.

That is the entire challenge.

No new framework. No software implementation. Just exposure.

What AI Will Immediately Surface

1. Hope-Driven Initiatives

In Sales:

Vague problem statements
No quantified impact
Close dates slipping
Notes heavy on enthusiasm

In Marketing:

“Awareness” goals without defined conversion math
Assumed lift with no baseline
Spend continuing despite flat performance

In Project Management:

Scope creep justified as “minor”
Timeline risk ignored
Success criteria loosely defined

In manufacturing, this might look like a plant automation project justified by “efficiency gains” with no cost model.

In a SaaS company, it might be a demand-gen program that “feels strong” but produces low-quality leads.

In a services firm, it might be a transformation project where the sponsor is excited but frontline adoption is unclear.

AI flags narrative without evidence.

2. Decision Authority and Sponsorship Gaps

In Sales, this shows up as:

No confirmed economic buyer
No documented decision process
No budget authority clarity

In Marketing:

No executive sponsor for the campaign
No alignment with revenue leadership
No clarity on who owns pipeline impact

In Projects:

Weak executive sponsorship
Stakeholders misaligned on scope
No escalation path for tradeoffs

Across products, manufacturing, and services companies, the pattern is consistent: initiative energy without decision authority.

AI highlights structural fragility when you see it summarized cleanly.

3. ICP or Strategy Drift

You provide your ICP or strategic criteria. AI cross-checks reality.

Common patterns:

Target segment outside your sweet spot
Use case outside core value proposition
Project misaligned with annual strategic priorities
Campaign chasing volume instead of ideal personas

In a capital equipment manufacturer, that might mean chasing sub-scale facilities outside your profitable service model.

In a software company, it might mean launching features for edge cases.

In a consulting firm, it might mean taking on clients without internal capacity to implement recommendations.

You see where execution violates strategy.

Why This Works

Humans rationalize.

Sales teams rationalize quota pressure.
Marketers rationalize sunk media spend.
Project managers rationalize timelines to avoid escalation.

Leaders rationalize most of all because they need the forecast to hold.

AI does not care about:

End-of-quarter optics
Campaign pride
Political capital
Status meeting narratives

It evaluates patterns.

When you line up five initiatives side by side, structural weaknesses repeat:

Missing qualification
Inflated timelines
Undefined success criteria
Strategy misalignment

This does not replace judgment. It removes first-pass bias.

How to Operationalize It

If you want this to become part of your operating system:

Run it weekly on the same five initiatives
Track how often AI recommends stop, fix, or continue
Compare recommendations to outcomes 90 days later
Review AI stop calls openly in pipeline or portfolio reviews

If AI consistently flags dead deals, broken campaigns, or failing projects early, you have a discipline gap.

If AI is frequently wrong, your input data is weak.

Either outcome is instructive.

AI Prompts

Use these to deepen the exercise:

Final Thought

Outcome quality matters more than activity volume.

The 5-Initiative Reality Check forces leaders in sales, marketing, and project management to confront whether their pipeline, campaigns, and roadmaps are built on evidence or optimism.

AI has no commission bias. It also has no ego.

If your team cannot tolerate this level of scrutiny, your forecast, your funnel, or your roadmap is already fiction.