Proof of Value vs. Proof of Concept (PoV vs. POC)

No ownership: the fifth failure pattern, and the one people miss

The "why POCs and PoVs fail" list on this page ends at no ownership for a reason — it's the pattern that's easiest to overlook while an evaluation is running and the most obvious once you look back at a stalled one. Unclear scope and missing success criteria get caught at kickoff if anyone is paying attention. No ownership rarely gets caught until the evaluation is already three weeks past its end date and nobody can say whose job it was to schedule the final review.

Across the evaluations we've tracked in OnTrack PoV, "no ownership" shows up less as a single dramatic gap and more as a slow handoff failure: the sales engineer assumes the customer's technical lead is scheduling the next test session, the technical lead assumes the vendor will chase them, and both sides let two weeks pass being polite about it. By the time someone asks "where are we on this," the evaluation has gone quiet in a way that looks a lot like disengagement — which is exactly the early-warning pattern we describe elsewhere on this page — except the root cause here isn't the stakeholder losing interest, it's that no one on either side was named as accountable for moving the evaluation forward.

This is why OnTrack PoV treats governance as one of the five things to agree before testing starts, alongside objective, success criteria, scope, and timeline — and why the software attaches an owner to each test in the plan rather than leaving ownership as a line in a kickoff deck that nobody revisits. A test with no owner is a test that doesn't get run on schedule.

How we've seen scope creep actually happen

Scope creep rarely arrives as one big request. In the evaluation records we've seen, it arrives as a series of small, reasonable-sounding asks: "while you're in there, can you also check X," or "one of our other teams wants to see Y before they sign off." Each one is defensible on its own. The pattern only becomes visible when you look at the test plan as a whole and see that the evaluation has quietly grown from six functional tests to fourteen, with no corresponding change to the timeline or the success criteria.

The fix we've seen work is not refusing every additional request — some of them are legitimate and worth adding. It's treating scope as something written down and versioned, so that when a new test gets added, it's an explicit decision both sides make, not a drift that happens in email threads and side conversations. This is the reason OnTrack PoV keeps the test plan as the single record of scope: if a test isn't in the plan, it isn't part of the evaluation, and adding it is a deliberate edit rather than an assumption.

What weak stakeholder engagement looks like before it becomes a stalled deal

We noted earlier that low engagement in the first two weeks is a reliable early warning sign, and it's worth being specific about what that looks like in practice rather than leaving it abstract. It's not usually a stakeholder who says "I'm not interested." It's a stakeholder who stops asking questions. In the evaluations we've tracked, the ones that later stalled show a consistent shape: active back-and-forth in week one, a single-word confirmation in week two ("looks fine, keep going"), and then silence until the vendor has to chase them for the closeout review.

The evaluations that convert tend to have the opposite shape — multiple people on the customer side raising follow-up questions, pushing back on a result, or asking for one more test, well past the kickoff call. That level of friction is a good sign, not a bad one: it means the outcome still matters to more than one person. This is also why OnTrack PoV's update emails and roll-up reporting exist as a running thread through the evaluation rather than a single closeout document — a presales leader reviewing engagement mid-evaluation can see the same drop-off we describe here while there's still time to re-engage the account, instead of finding out at the end that the deal already went quiet weeks earlier.

What OnTrack PoV actually tracks, in concrete terms

The illustrations above — detection rates above 95%, false positives dropping from 200 to 30 a week — are examples of the kind of success criteria teams write into a test plan, not a claim about our own results. Here is what we can say plainly about the software itself, without dressing it up.

OnTrack PoV comes with a reusable template library, so a sales engineer starting a new evaluation is not writing a test plan from a blank page — they pull from templates already built for their product line and adjust scope from there. Every functional test in that plan is recorded as a simple pass or fail, with notes and screenshots attached as evidence, so the record at closeout is not a memory of what happened but a logged history of it.

Because it is self-hosted on your own hardware, there is no per-seat limit and no cap on how many evaluations your team runs at once — a five-person presales team and a fifty-person one run on the same license. And because it is one system of record instead of a folder of spreadsheets and slide decks, the roll-up report a presales leader pulls across active evaluations reflects the same pass/fail data the sales engineer entered on the call, not a manually re-typed summary.

We are not going to invent a percentage for "time saved" or "evaluations won" that we have not measured — OnTrack PoV is still in active QA, and we would rather tell you exactly what it does than round up. As real customers run real evaluations through it, we intend to publish the actual numbers here instead of examples.

What we've seen across the evaluations we've tracked

A few of the patterns on this page aren't abstract — they show up repeatedly in the evaluations run through OnTrack PoV, and in the presales cycles we've studied while building it.

• Broad stakeholder engagement correlates with wins. In the evaluations we've tracked, POCs and PoVs where multiple stakeholders actively reviewed results — not just a single internal champion — converted to a purchase far more often. When only one person is engaged, the evaluation is easier to stall or deprioritize once that person moves on, gets pulled onto something else, or loses internal leverage.
• Missing success criteria is the most common root cause of a stalled evaluation. Across the evaluation records we've seen, "no success criteria" and "unclear scope" show up more often than any technical failure as the reason a POC or PoV drags past its end date without a decision.
• Low engagement in the first two weeks is a reliable early warning sign. In the pattern we've observed, evaluations where the requesting stakeholders go quiet early are the same ones that later stall or go dark — the disengagement shows up well before the deal itself does.

We don't publish these as formal statistics because we don't run a research practice — we build software for tracking evaluations, and this is what the data inside those trackers tends to show. If you're running your own POCs and PoVs today, it's worth checking your own historical win/loss records against these patterns before you take our word for it.