Evaluation & Experiment
Structure evaluations and POCs that prove value, not just feasibility.
From Chapter 13 of Modern Presales
Overview
Evaluation & Experiment is the element that governs how you design and execute proofs of value, proofs of concept, pilots, and any hands-on validation the customer requires. The goal is to transform open-ended evaluations into structured experiments with defined success criteria, stakeholder commitments, and clear next steps.
Why it matters
Evaluation & Experiment is where many deals are won or lost — and where the difference between a proof of concept and a proof of value becomes critically important. A POC answers "Can it work?" A POV answers "Is it worth it?" The VERTEX framework strongly favors POVs because they connect technical validation to business outcomes, which is what gets deals approved and budgets allocated.
The core discipline of this element is structuring evaluations as mutual commitments. Before any hands-on work begins, you and the customer should agree on five things: what you're testing, how you'll measure success, who's involved, when it ends, and what happens if it succeeds. That last point is the most important — if the customer won't commit to a next step on success, the evaluation isn't real.
The POV proposal document is your most important artifact here. It captures the success criteria, stakeholders, timeline, scope, and post-success next steps in a format that both sides sign off on. This document prevents scope creep, creates accountability, and — when the evaluation succeeds — becomes the foundation of your closing argument.
During the evaluation itself, maintain a results document that maps directly to the success criteria. Capture screenshots, metrics, and stakeholder feedback as you go. When the evaluation ends and you present a document showing every success criterion met with evidence, the path from evaluation to purchase order is dramatically shorter.
Key discovery questions
- 1If we meet the success criteria we define together, what happens next?
- 2Who needs to see the results for this evaluation to lead to a decision?
- 3What data or systems should we include to make this test representative?
- 4What's a realistic timeline for a meaningful evaluation?
- 5What would failure look like? What are you most worried about?
Common mistakes
- Running a POC without defined success criteria, turning it into an open-ended science project.
- Failing to get executive sponsor commitment to review results and define next steps.
- Testing too many scenarios instead of focusing on the two or three that matter most.
- Treating the evaluation as a one-sided demonstration instead of a collaborative experiment.
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This element is covered in detail in Modern Presales (Chapter 13), including real-world examples, templates, and implementation guidance.