Your pipeline has two deals sitting side by side in Salesforce.

Deal A is a $75K infrastructure optimization play. Single decision-maker. They're bleeding money on AWS and they know it. Competitive bake-off happening next week. If you don't get a proposal in front of them by Friday, you're out.

Deal B is a $300K platform deal. CTO, CFO, and a DevOps lead all have opinions. They've been burned by a migration before and they're cautious. The evaluation timeline is "Q2," which could mean anything. They want proof before they commit.

Both deals need a value story. But if you run the same playbook on both, you'll lose them both — Deal A because you moved too slowly, Deal B because you moved too fast.

The best sales teams don't have one value-selling motion. They have two (or more): a Quick Close path that gets a credible business case in front of a buyer in days, and a Proof of Value path that co-builds a validated ROI story over weeks. The skill is knowing which one the deal in front of you actually needs.

Here's how both paths work in practice for a cloud services company selling infrastructure optimization and the Minoa features that power each one.

The Quick Close: A Credible Business Case in 48 Hours

Let's start with Deal A. Your prospect is a mid-market SaaS company spending $50K/month on AWS. Their VP of Engineering jumped on a discovery call yesterday and said, almost word for word: "Our infrastructure costs are rising 30% year over year and we need to get this under control before budget planning."

That's a buying signal wrapped in a deadline. You don't need a three-week evaluation. You need a sharp, credible value story delivered fast enough to ride the urgency.

Here's how the Quick Close path unfolds — from discovery call to proposal in two to three days.

Day 1: Capture Everything From Discovery

The discovery call is where most of the value story lives. The VP of Engineering mentioned rising costs, scalability concerns, and a team spending too much time on manual infrastructure management. Those are three use cases hiding in plain language.

Minoa's call transcript integration imports the recording directly from Gong, Chorus, or Zoom and attaches it to the business case as a reference. No manual note-taking, no "what did they say about their current spend?" conversations the next morning.

The AI Value Agent goes further. Ask it: "What are the main challenges mentioned in this call?" And it extracts the specifics:

"Infrastructure costs rising 30% YoY"
"Spending approximately $50K/month on AWS"
"Engineering team spends 15-20 hours per week on infrastructure management"
"Need better scalability for Q3 product launch"

That's your value hypothesis in minutes, pulled directly from the customer's own words.

Day 1-2: Build the Value Hypothesis Fast

With the discovery insights captured, Minoa's Business Case Builder gets you to a credible ROI story in five minutes… but you probably have 15-20 to make it great.

Start by selecting from pre-built cloud services use cases:

Reduce Infrastructure Costs — AWS/Azure optimization, right-sizing, reserved instance management
Improve Application Performance — CDN, caching, load balancing gains
Reduce DevOps Overhead — automation and CI/CD improvements that free up engineering hours

AI-powered use case suggestions analyze the discovery transcript and recommend which use cases fit this specific deal. For a prospect hemorrhaging money on AWS with a stretched engineering team, the system surfaces "Reduce Infrastructure Costs" and "Reduce DevOps Overhead" immediately — with context on why each was suggested.

Input Scout pre-populates what it can from the call and publicly available sources: current AWS spend of $50K/month, team size, hours spent on manual tasks. For anything the prospect didn't mention, industry benchmarks fill the gaps as reasonable starting points.

The quick calculation practically writes itself:

Current AWS spend: $50K/month
Projected reduction: 35% = $17.5K/month savings
Annual infrastructure benefit: $210K
DevOps time reclaimed: 15 hours/week × $85/hour = $66K annually
Total projected annual value: $276K

Is this precise? Not yet. But it's credible, it's grounded in what the prospect actually said, and it's ready before the competitive bake-off.

Day 2: Support the Demo With Quantified Value

Most demos are feature tours. The ones that win deals are feature tours with dollar signs attached.

Walking into the demo with a value hypothesis already built changes the conversation. You're showing the prospect what their savings could look like while you demonstrate how the product delivers them.

Minoa's Resources tab lets you link demo videos, architecture diagrams, and relevant case studies directly to the business case — so everything the prospect needs lives in one place, not scattered across email threads.

Basic Scenarios give the demo a strategic frame. Show "Current State" alongside "With Our Solution" and let the numbers tell the story while you walk through the product. The prospect isn't just watching a demo — they're seeing their own potential savings come to life.

After the demo, Minoa's one-page export generates a clean PDF summary you can send within the hour. No late nights in PowerPoint. No "I'll get that to you next week." The follow-up goes out while the demo is still fresh.

Day 3: Deliver a Polished Proposal

The proposal needs to look professional and speak directly to the decision-maker's priorities.

Minoa's export options let you match the format to the audience:

Slide export for a presentation-ready walkthrough
PDF export for a polished proposal document
Shareable link with viewer access for decision-makers to review on their own time

Tab visibility controls ensure the decision-maker sees the value summary and investment tabs — the "what do I get and what does it cost" view — without getting lost in technical calculation details.

Total elapsed time: two to three days from discovery to a proposal that has real numbers, grounded in what the prospect told you, formatted for the person who signs the check.

When the Quick Close Path Fits

This motion works best when the deal has clear characteristics:

Smaller deal size — under $100K ARR, where the evaluation overhead should be proportional
Urgent buyer need — a compelling event like budget planning, a competitive threat, or a board mandate
Single decision-maker or a small, aligned buying group
Strong product-market fit signals — the prospect already knows they have the problem you solve
Competitive pressure that rewards speed over depth

The trade-off is real: you're working from seller assumptions rather than customer-validated inputs. The numbers are credible but not battle-tested. For a deal at this size and urgency, that's usually the right balance. Getting a good-enough business case in front of the buyer on time beats getting a perfect one in front of them too late.

The Proof of Value: Co-Building a Business Case Over Weeks

Now let's look at Deal B. A $300K platform deal with a CTO who's interested, a CFO who's skeptical, and a DevOps lead who's been promised silver bullets before.

This prospect is spending $80K/month on AWS across a multi-cloud environment. They're experiencing two to three outages per quarter. Their database performance is degrading as they scale. And they have a very reasonable concern: the last vendor who promised 35% cost savings delivered maybe 10%.

A PDF proposal isn't going to close this deal. You need the customer to co-build the value story with you — so by the time the CFO reviews the business case, the numbers are theirs, not yours.

Here's how the Proof of Value path unfolds over two to three weeks.

Week 1: Go Deep on Discovery

The Proof of Value path starts with more listening. Two discovery calls minimum, often three — each one layering new understanding on the last.

Minoa's call transcript integration imports each call and attaches it to the same business case, creating a running record of the conversation as it evolves.

After the first call, the AI Value Agent extracts the obvious pain points: "Spending $80K/month on AWS," "experiencing 2-3 outages per quarter," "considering multi-cloud consolidation." Standard discovery.

After the second call, the analysis gets more interesting. The AI compares both transcripts to identify:

Consistency — which pain points came up both times (infrastructure costs, reliability)
New information — what surfaced in the deeper conversation (slow database queries, compliance audit concerns)
Contradictions — anything worth clarifying before building the model

AI-powered use case suggestions now draw from both calls to recommend a broader set of use cases:

Reduce Infrastructure Costs — flagged from Call 1, reinforced in Call 2
Improve System Reliability — outages mentioned in both conversations
Optimize Database Performance — new pain point from the deep dive in Call 2
Reduce Multi-Cloud Complexity — a custom use case suggested based on their specific architecture

By the end of Week 1, you have a validated understanding of the prospect's world — not from one thirty-minute call, but from multiple conversations where each one built on the last.

Week 1-2: Build the Value Hypothesis, Then Validate It

With a richer discovery foundation, Minoa's Business Case Builder helps you construct a comprehensive value hypothesis. The Quick Close path used two to three templated use cases. The Proof of Value path might use four or five — a mix of templated use cases and custom-built calculations for situations unique to this prospect.

For the cloud services deal, the initial hypothesis might look like:

Reduce Infrastructure Costs: $80K/month → $52K/month (35% reduction) = $336K annual savings
Improve System Reliability: 2-3 outages/quarter × estimated cost per outage = $180K in avoided downtime
Optimize Database Performance: query time improvements × developer productivity gains = $95K annually
Reduce Multi-Cloud Complexity: consolidation savings on tooling, training, and operational overhead = $120K annually

That's a $731K value hypothesis. Impressive on a slide. But on its own, the CFO isn't going to believe it — and frankly, they shouldn't. These are still your assumptions.

This is where the Proof of Value path diverges from the Quick Close. Instead of packaging the hypothesis into a proposal, you open it up for validation.

Week 2: Let the Customer Own the Numbers

Minoa's collaboration and sharing features turn the business case into a living document that the buying team builds with you.

Invite the DevOps lead as an editor. They can see the inputs driving each calculation and adjust them based on what they actually know. Maybe your assumption of $80K/month on AWS was close but not exact — they confirm it's $82K. Maybe the outage cost estimate was too low because you didn't account for SLA penalties. They add that context directly.

Minoa's stakeholder surveys formalize this process for larger buying groups. Share a targeted questionnaire with technical stakeholders:

"Can you confirm your current monthly AWS spend?"
"How many hours per week does your team spend on infrastructure management?"
"What's the estimated revenue impact of a production outage?"

Input Scout pre-populates what it can from the transcripts, so stakeholders aren't starting from a blank form. They're confirming and refining, which feels much lighter than filling out a spreadsheet from scratch.

As responses come in, the business case updates in real time. The refined numbers tell a more accurate (and often more compelling) story:

Validated AWS spend: $82K/month (they confirmed, slightly higher than estimated)
Expected reduction: 35% = $28.7K/month
Refined annual benefit: $344K (infrastructure alone — up from the initial $336K estimate)

The comments feature keeps the conversation threaded directly on specific inputs and assumptions. "@DevOps Lead: Can you confirm the average duration of production outages? We estimated 4 hours but want to make sure." This kind of inline dialogue builds trust and surfaces details that a survey alone might miss.

Stakeholder-specific views through tab visibility controls ensure each person sees what matters to them:

CFO sees the high-level ROI, investment summary, and payback period
CTO sees the technical architecture considerations and reliability metrics
DevOps Lead sees operational details, time savings, and implementation specifics

Everyone's looking at the same business case. Everyone sees it through their own lens.

Week 2-3: Present Scenarios, Not a Single Answer

By now, the inputs are customer-validated, the calculations are credible, and the buying team has fingerprints on the business case. Time to present options.

Minoa's Scenarios feature lets you build three distinct paths and compare them side-by-side:

Scenario 1: Conservative — infrastructure optimization only, 25% cost reduction, $250K annual benefit, 8-month payback
Scenario 2: Expected — infrastructure + performance improvements, 35% cost reduction, $344K annual benefit, 6-month payback
Scenario 3: Optimistic — full stack optimization including advanced features, 45% cost reduction, $480K annual benefit, 4-month payback

Each scenario can include different use case combinations. The Conservative path might only include "Reduce Infrastructure Costs." The Expected path adds "Improve System Reliability" and "Optimize Database Performance." The Optimistic path layers in "Reduce Multi-Cloud Complexity" and advanced optimization.

Walking the buying team through these scenarios shifts the conversation from "should we buy this?" to "which version should we buy?" That's a fundamentally different meeting.

Minoa's Value Timeline adds the time dimension that risk-averse buyers need to see:

Months 1-3: Infrastructure optimization — quick wins, measurable cost reduction
Months 4-6: Performance improvements at the application layer
Months 7-12: Advanced features including AI/ML-driven optimization

Each phase has its own expected ROI and its own milestones. The phased approach lets the cautious CTO start with a controlled pilot and scale based on results — reducing risk while building momentum.

The Final Deliverable

The Proof of Value path produces a business case that has been touched by multiple stakeholders, refined with real data, and pressure-tested through conversation. The final presentation includes:

Validated calculations built from customer-confirmed inputs
Three scenarios with clear trade-offs and investment levels
A phased timeline showing how value is realized over twelve months
A comprehensive Resources tab linking implementation roadmaps, reference architectures, security documentation, and relevant case studies

Minoa's export options let you package this for every audience:

Slide export for the CTO's leadership presentation
PDF for the CFO's budget review
Full business case link for the DevOps team's technical evaluation
One-page summary for the board deck

When the Proof of Value Path Fits

This motion earns its longer timeline when the deal has certain characteristics:

Larger deal size — $100K+ ARR, where the evaluation depth should match the investment
Multiple stakeholders — CFO, CTO, DevOps, procurement all need to be convinced
Complex technical requirements — migration, multi-cloud, compliance layers
Risk-averse buyer — burned before, needs validation before commitment
Established competition — you're displacing an incumbent and the bar for proof is higher

The payoff is significant: higher win rates because the customer co-created the ROI story, stronger champions who can defend the numbers internally, and better expansion opportunities because the customer understands exactly what value they're buying.

Same Platform, Different Depth

The Quick Close and Proof of Value paths aren't different products. They're different levels of engagement with the same Minoa features. Here's how the depth scales:

Call Transcripts & AI Value Agent

Quick Close: One call, basic pain point extraction
Proof of Value: Multiple calls, cross-call analysis, pattern identification, use case suggestions that evolve with each conversation

Use Cases

Quick Close: Two to three templated use cases, selected quickly based on AI suggestions
Proof of Value: Four to five use cases mixing templates and custom-built calculations for the prospect's unique situation

Input Collection

Quick Close: Seller assumptions supplemented by Input Scout, industry benchmarks for gaps
Proof of Value: Customer-validated inputs via surveys, real-time collaboration, threaded comments on specific assumptions

Scenarios

Quick Close: One to two basic scenarios — "current state" vs. "with our solution"
Proof of Value: Three or more detailed scenarios with different use case combinations, investment levels, and risk profiles compared side-by-side

Value Timeline

Quick Close: Generally not needed — the deal moves too fast for phased planning
Proof of Value: Phased rollout modeling with milestones and per-phase ROI that reduces perceived risk

Collaboration

Quick Close: Minimal — share with viewer access for the decision-maker to review
Proof of Value: Active co-building — multiple editors, stakeholder surveys, threaded comments, stakeholder-specific views through tab visibility

Resources

Quick Close: Demo videos and a relevant case study linked in the Resources tab
Proof of Value: Implementation roadmaps, reference architectures, security documentation, compliance guides, and case studies

Exports

Quick Close: One-page PDF or slide deck, sent quickly after the demo
Proof of Value: Multiple formats for different stakeholders — slides for the CTO, PDF for the CFO, full link for the technical team

The platform is the same. The depth of engagement is what changes. And the AE gets to make that call based on the deal in front of them — not because one path was all the tooling supported.

Choosing the Right Path

The decision between Quick Close and Proof of Value isn't about the product you're selling. It's about the deal you're in.

Some practical signals that point toward Quick Close:

The buyer names a specific timeline or competing evaluation
There's a single person who can approve the spend
The prospect already articulates the problem in your language
The deal size is below your company's threshold for multi-threaded selling
Your competitor is further along and speed is your only edge

And signals that point toward Proof of Value:

Multiple stakeholders with different concerns and different definitions of success
The prospect has been burned before and explicitly asks for proof
The deal size justifies two to three weeks of deeper engagement
You're displacing an incumbent and the switching costs are real
The expansion potential is significant — a thorough land sets up a much larger expand

The best AEs read these signals early and choose their path in the first week. The worst ones default to the same motion every time — either rushing a complex deal that needed validation, or over-engineering a simple deal that needed speed.

Minoa supports both. The question is whether your team knows which one they're running.

Last updated: Feb 10, 2026

Two Deals, Two Speeds: How to Match Your Value Selling Motion to the Deal in Front of You