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Winning by Design x Snowflake

Embedding Revenue Architecture into Snowflake's GTM Agents.

A working conversation on how your 3,700-person global GTM organization transitions to an agentic, consumption-first operating model.

April 2026 . Confidential
Act 1 . Context 02 / 24
Who We Are

We are the global standard for Revenue Architecture.

Winning by Design helps GTM organizations design predictable, compounding revenue engines. We wrote the book on Revenue Architecture. Our work is the operating language for thousands of teams across every segment.

Act 1 . Context 03 / 24
What We Do

We design the machine that produces recurring revenue.

In a consumption model, the sale is the starting line, not the finish line. Revenue is re-earned through recurring customer impact. We architect every stage of that journey so impact compounds.

Frameworks

Revenue Architecture

Six models connecting GTM strategy to financial outcomes. Revenue, Data, Mathematical, Operating, Growth, GTM.

Language

SPICED

Situation, Pain, Impact, Critical Event, Decision. The operating language across the full customer lifecycle.

Method

Growth Governance

How leadership teams run the revenue engine with rigor. Coaching, forecasting, QBRs, board reporting.

Act 1 . Context 04 / 24
What We Believe

Three principles shape every deployment.

01

Recurring impact drives recurring revenue.

Customers who achieve measurable impact expand. Customers who do not, churn. Every GTM motion must be architected around impact delivery.

03

The manager is the multiplier.

Adoption lives in the 1:1, the forecast call, and the QBR. If managers do not coach it, the field will not run it. Leadership owns adoption.

Act 1 . Context 05 / 24
The First Requirement

A shared language across the organization. Everything else builds on top of it.

Agents, CRM, and coaching systems only work when they speak the same language as the humans around them. The first requirement of agentic GTM is not better software. It is a common language that every seller, CSM, manager, marketer, and agent understands the same way.

Without a common language

Every system amplifies confusion.

Agents scored on one rubric. Managers coaching to another. CRM fields capturing a third. Each layer is sharper. The signal is noisier.

With a common language

Every layer compounds.

Agent prompts, CRM fields, manager 1:1s, QBR templates, and coaching rubrics all speak SPICED. Clarity replicates. Signal compounds.

Act 1 . Context 06 / 24
SPICED

The common language that spans the full customer journey.

Unlike qualification frameworks built for the sales cycle only, SPICED works from first discovery call through implementation, renewal, and expansion. The impact definition created on the first call is the same definition used at year three.

S
Situation
Context of the customer's world today
P
Pain
The problem they are trying to solve
I
Impact
Measurable outcome they must achieve
CE
Critical Event
Business urgency, not artificial deadline
D
Decision
Path to commit across the buying committee

Impact and Critical Event are the two most commonly underutilized dimensions. They are also the two with the highest correlation to win rate and deal velocity. SPICED is machine-readable by design. Every dimension maps to a CRM field, a coaching rubric, and an agent prompt.

Act 2 . Your Seven Questions . 01 07 / 24
Question 01

What does AI-first deployment actually look like?

We enable your agents. We do not build them. Your team owns the stack. We provide the language, the prompt architecture, the scoring logic, and the certification. Three layers working together.

Surface

SPICED Prompt Library

Every rep builds a personal SPICED assistant in Gemini, Claude, Copilot, or ChatGPT on day one. Out-of-the-box content library that works with your existing tools.

Your Agents

Embedded in Your Stack

SPICED scoring logic, CRM field mapping, and coaching flows inside Snowflake's own agents. We guide implementation. Your AI and IT team builds and owns it.

Quality Gate

Agent Certification

Agents are trained from Phase 2. Certification at Phase 6 is the quality gate before enterprise go-live, not the start of agent work. Agents improve throughout the engagement.

We run this internally. Our agent Jack is trained on the full Revenue Architecture IP and scores our customer calls. Jack does not just summarize a transcript. He is certified to pull out the nuance of a complex decision criteria or the difference between a critical event and a compelling event.

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We enable your agents.
We don't build them.
Act 2 . Your Seven Questions . 02 09 / 24
Question 02

Where is this deployed today?

SPICED as a methodology is deployed at 2,000+ companies. Global Payments is our flagship at-scale deployment. Lance Haffner, CRO, drove it top-down across 2,000 reps through 40 acquisitions and a $24 billion Worldpay integration. Train-the-trainer model. Agentic SPICED at enterprise scale is the pioneer motion we build with you.

Today

SPICED as Language

Deployed across 2,000+ client organizations. Global Payments ran a train-the-trainer model that became self-sustaining. Frontline managers became the reinforcement system.

Flagship Motion

SPICED inside Your Agents

Pioneer deployment at enterprise scale. We run this internally with Jack. Snowflake is positioned as the flagship case study. We share the risk of a pioneer motion. That is why the pricing is structured the way it is.

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The methodology is proven at scale. The agentic motion, we pioneer together.
Act 2 . Your Seven Questions . 03 11 / 24
Question 03

How do you enable 3,700 people across a global organization?

Top-down and systems-first. We enable the 300 instead of training the 4,000. Leaders and agents do the rest. Agents and systems work in parallel from Phase 2 forward, not sequentially.

PHASE 1 . WKS 1-3
ELT + SVPs

Alignment workshop. Bowtie as the shared revenue model. Growth diagnostics.

PHASE 2 . WKS 4-12
AI + IT Team

Agent training starts here. Prompt architecture and scoring. Parallel to all human phases.

PHASE 3 . WKS 2-6
RevOps + Finance

GTM Diagnostic. Baseline across selling motions. Metrics that matter to growth.

PHASE 4 . WKS 6-14
Frontline Managers

Certification in cohorts of 20 to 25. Eight hours live, two hours async. Coaching focus.

PHASE 5 . WKS 10-12
Facilitators

Enablement team certified. Snowflake owns onboarding forever.

PHASE 6 . WKS 17-18
Agent Certification

Quality gate. Agents have been running since Phase 2. This confirms go-live readiness.

For the 3,400 ICs: three mechanisms in parallel. Asynchronous IP library on your LMS. The manager coaching cadence in every 1:1 and QBR. And the agent itself, which surfaces the missing element in real time. Think of it like learning to play a video game. Training happens through the work, not in a classroom before the work.

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The agent is the enablement.
Act 2 . Your Seven Questions . 04 13 / 24
Question 04

How do we manage the transition from MEDDPICC to SPICED?

SPICED can run behind MEDDPICC. Many of our clients keep MEDDPICC front-facing for qualification and use SPICED in the background as the lifecycle language. The D in MEDDPICC is the same as the D in SPICED. We collapse or expand dimensions based on what your selling motion requires. It becomes the Snowflake Way, not the WbD way.

What Stays

Respect what works.

3,700 people speak MEDDPICC today. No rip-and-replace. We are flexible. Meltwater runs SPICED but goes deep on Champion. Enterprise deals may need separate Decision Criteria and Decision Process. Faster velocity combines them. As long as it is standardized.

What Evolves

Add the journey language.

SPICED extends to the right side of the Bowtie: onboarding, impact realization, renewal, expansion. MEDDPICC does not serve that terrain. In a consumption model, this is where revenue is re-earned. The AI is fantastic at translating between the two. It minimizes the human behavior change risk.

We do not come from a command-style background. Our approach is flexible. It has to become the Snowflake Way. Tailored to your selling patterns, your technical win requirements, your enterprise complexity. Standardized across your organization, but shaped by you.

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It has to become the Snowflake Way.
Act 2 . Your Seven Questions . 05 15 / 24
Question 05

How do we leverage the methodology with AI beyond launch?

Launch is week 18. Everything interesting happens after. The system learns. Every call scored. Scoring feeds the next agent version. Coaching dashboards show each rep's gap to top performer and the projected revenue impact of closing that gap. Personalized role-play scenarios generated from actual customer calls, not generic training.

LOOP 01
Score Every Call

Agent scores SPICED dimensions on every customer conversation.

LOOP 02
Gap Analysis

Per rep: distance to top performer per dimension. Projected revenue impact of closing each gap.

LOOP 03
Adaptive Coaching

Personalized role-play from real call data. Tiered competency: level 1, 2, 3 per SPICED dimension.

LOOP 04
Manager Sprints

Quarterly sprints run by FLMs. Top-down metrics tied to team needs. Not vendor-led.

LOOP 05
Benchmark

Anonymized cross-customer benchmark. Network effect. The moat.

Reps care about what their peers are doing. Show me their proposal. Show me how they handled that objection. What does it actually sound like? This system serves that in the moment of need, not in a classroom weeks after the need passed.

Act 2 . Your Seven Questions . 05 Detail 16 / 24
What It Looks Like for a Rep

Your biggest opportunities to close the gap.

Skills ranked by the gap between this rep's score and top performers. Start with the largest gaps to unlock the biggest improvements in win rate.

Current Win Rate
12%
Potential Win Rate
32%
Impact Definition . 56%
Critical Event . 32%
D
Close these 3 SPICED gaps and achieve up to x2.6 more wins.
1
SPICED . I

Impact Definition

You bring a quantified impact into 10% of your calls. Top reps do it in 90% of theirs. Their win rates are 2.5x higher.

10%
YOUR SCORE
.
90%
TOP REPS
.
2.5x
POTENTIAL
Start framing calls with "imagine if..." scenarios that show how the customer's world looks with your solution.
2
SPICED . CE

Critical Event

You anchor to a customer milestone in 28% of calls. Top reps do it in 70%. Their win rates are 1.8x higher.

28%
YOUR SCORE
.
70%
TOP REPS
.
1.8x
POTENTIAL
Tie urgency to the customer's business calendar, not yours. "What happens if this is not solved by Q3?"
3
SPICED . D

Decision Mapping

You map the buying committee in 45% of your deals. Top reps do it in 85%. Their win rates are 1.4x higher.

45%
YOUR SCORE
.
85%
TOP REPS
.
1.4x
POTENTIAL
Ask "who else needs to weigh in?" early. Map the committee. Run a role-play on the multi-thread.
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This should be constantly improving itself.
Act 2 . Your Seven Questions . 06 18 / 24
Question 06

AI automation versus human touch. Now, and in 12 to 24 months.

AI is powerful. It also needs guardrails. A common language is the guardrail. Today, AI is strong at preparation, scoring, inspection, and drafting. Humans still own the moments that make or break the deal and the relationship.

AI owns today

Preparation, scoring, inspection, drafting

  • Discovery prep and account research
  • Post-call SPICED scoring and summary
  • Next-best-action recommendations
  • Deal inspection and forecast anomaly detection
  • Personalized pre-call coaching from similar deals
  • Heads-up display: the customer said this, ask this next
Humans own today

Trust, judgment, novel context

  • The moment of commit with the economic buyer
  • Executive sponsorship and board relationships
  • The difficult retention conversation
  • The novel impact thesis not in training data
  • Pressure-testing a Critical Event with a CFO
  • Navigating the technical win in a complex enterprise deal

In 12 to 24 months, AI moves from post-call coaching to in-ear coaching during the call to running portions of the call autonomously. Eventually, agents will buy from agents. All of this needs to be true simultaneously. The management layer feels the change first.

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AI needs guardrails. A common language is the guardrail.
Act 2 . Your Seven Questions . 07 20 / 24
Question 07

How do you use AI to build perpetual methodology enablement content?

A static slide deck playbook is extremely outdated. We need a living system that feeds in insights and serves them back in the moment of need. Your enablement team shifts from content producers to curators, coaches, and system designers. Same headcount. Ten times the leverage.

01
Calls Scored

SPICED agent scores every transcript on five dimensions, pulling nuance, not summaries.

02
Exemplars Selected

High and low performers flagged. Anonymized. Real call data.

03
Content Generated

SPICED good vs bad clips. Role-play scenarios from actual customer personas.

04
Served in Context

Pre-call: similar deal insights. Post-call: what to do next. In the workflow, not in a classroom.

05
Manager Dashboards

FLMs see team patterns. Coaching moves from anecdote to data.

06
Agent Retrained

Exemplars feed the next quarterly agent version. System gets sharper.

The future of enablement is individualized, automated, and triggered by performance data. If someone is weak on Critical Event, they get a role-play scenario from a similar persona on a similar deal. Not a generic module. Not a classroom. This is the adaptive learning promise that AI finally delivers.

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Enablement content is no longer authored. It is extracted.
Act 3 . Co-Creation 22 / 24
Let's Structure This Together

Four pillars we want to shape with you.

This is a new motion for both of us. We have a proposal on the table. We want to refine the offering with you across four pillars.

01
Adoption Signal

What counts as adoption for Snowflake? Buyer response, rep behavior, or agent accuracy. We need your ground truth.

02
Accountability

The fourth leg. Classroom, roleplay, content, and adoption measurement. The agent layer is the accountability mechanism.

03
Calibration

What does good look like at Snowflake, specifically. First 90 days we score your existing call library to set the baseline.

04
Compounding

How the investment gets more valuable in year two and three. Benchmark is the moat.

Act 3 . Close 23 / 24
What We Ask For Today

Three commitments before we leave this call.

01

AI + IT Working Session

Schedule the next conversation with your AI and IT team to walk through the agent architecture and SPICED embedding approach.

03

Refined Offering in 14 Days

We return with the offering structured around the four pillars you helped shape. Specific. Dated. Ready to sign.

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Thank you

We designed this for Snowflake. Help us finish it.

Matt Kaminski, Managing Director . matt.kaminski@winningbydesign.com . 415.609.7708

Winning by Design . winningbydesign.com . Confidential