You're Losing Your RFPs to Indecision

The biggest line in your loss column has no logo next to it because you lost it to "no decision."

In complex B2B pursuits, that line is usually larger than every competitive loss combined, and most revenue organizations have no qualification step that accounts for it.

This is the argument: your win-rate problem is partly a qualification problem, and the thing you are failing to qualify for is the buyer's ability to decide. You measure whether the deal is worth winning, but you rarely measure whether the buyer can actually choose.

A high-value opportunity attached to a buyer who cannot commit is not an opportunity is a sink, and it is sitting in your commit column right now.

No-decision loss is when a qualified buyer ends an active purchase without selecting any vendor, including the incumbent. It is driven by the buyer's inability to decide, not by a preference for a rival.

Engagement is not intent, and treating it as intent is expensive

Most pipeline reviews reward activity. The buyer who asks for a third reference call, requests another round of technical detail, loops in two more stakeholders, and books the follow-up demo reads as a serious buyer. Sellers forecast that deal up simply because engagement feels like intent.

The assumption made sense when information was scarce and a buyer who invested time was signalling commitment.

By the time a buyer contacts you, they are, on average, nearly 60 percent of the way through their own buying process, having already done their own research according to the CEB (now Gartner) data cited in The JOLT Effect. They arrive with their decision-making disposition mostly formed. You are meeting their indecision mid-stream, not creating it, and you cannot sell your way out of a condition that predates you.

The expensive error follows from the assumption. If activity equals intent, then the most active buyer looks like your best deal. Sometimes the most active buyer is the one who cannot stop researching because they cannot decide. You resource that pursuit like a winner, but it won't pay out like you need it to.

What a buyer who cannot decide actually looks like

Indecision is not slow buying. Careful, deliberate purchasing takes time, especially for expensive or unfamiliar commitments, and a thorough buyer can be a serious one. The distinction is whether the work ever resolves into a decision. Research from The JOLT Effect gives four observable signals that separate the genuinely stuck buyer from the merely careful one.

1. The first is how they search for information. Healthy diligence has an end state the buyer can name. Indecision shows up when research tips into analysis paralysis: more references, more data, more reassurance, none of which change the buyer's position. For a buyer with low tolerance for ambiguity, more information does not build confidence. It manufactures worry, and each answer opens three new questions.

2. The second is how they evaluate options. A decisive buyer can explain the must-have criteria they used to build their shortlist and which criteria mattered less. An indecisive buyer cannot. They fixate on one attribute, price say, research it exhaustively, then abandon it for another and start the evaluation over. A buyer whose shortlist includes providers that are not even in the same category is not comparing apples to oranges. They are comparing apples to Tuesday.

3. The third signal is the most dangerous, because it appears late, after you have invested most heavily. It is backtracking: a buyer who is making progress, then reverses when new information appears. The JOLT Effect records a case that every revenue leader will recognise. A deal three months in, a successful pilot completed, contracts moving through procurement and legal, and then the buyer says a new Gartner Magic Quadrant has appeared and they want to talk to a couple of providers they have never heard of, just to leave no stone unturned. The seller knew, in that moment, the deal would never close. Six months later it still had not.

4. The fourth is whether the buyer will accept good enough or demands perfection. The perfectionist buyer treats every gap as a blocker and never runs out of gaps. This connects to a known bias, that when choosing wrongly feels worse than not choosing at all, every unticked box becomes a reason to wait, and inaction wins by default.

This is a forecasting problem wearing a sales costume

For a CRO or CSO, the reframe matters because it relocates the problem.

A no-decision loss is a deal that was miscoded as winnable and carried in the forecast at a confidence it never deserved. The cost is the pursuit budget spent on a buyer who was never going to buy, money that had alternative uses on deals that could close.

Luckily for all of us, indecision is measurable, not mystical. Psychologists Randy Frost and Deanna Shows built an "Indecisiveness Scale" in 1993 that remains the standard for assessing it, and the trait predicts real behavior.

In one study, indecisive participants took nearly fourteen minutes to complete a set of choices that decisive participants finished in under nine. You cannot hand your buyers a psychometric questionnaire, sure. But you can train your team to read the four tells, which is the practical equivalent.

This is important because a pipeline that does not grade ability-to-decide is a pipeline that systematically overstates commit. Every stuck deal that stays at 80 percent because the buyer is "very engaged" is a forecast error waiting for quarter-end, and none of us love those moments with the board and our CEO.

What changes when you qualify for ability-to-decide

You ask if the buyer can decide at the go/no-go gate, and then you keep asking it, because indecision often reveals itself after the gate, not before.

At the gate, score the four tells:

1. Can the buyer name a finite list of what they still need to know?

2. Can they explain their criteria?

3. Do they have a decision process that holds when new information appears?

4. Have they defined what good enough looks like?

A buyer who fails most of these is not disqualified automatically, but the deal is repriced for what it is.

After the gate, watch for the in-flight triggers, like information requests that rise as the decision nears, or a priority attribute that changes and restarts the evaluation, or a late, unprompted interest in options the buyer never previously considered, or new must-haves appearing after you thought requirements were settled.

When one of these are triggered, it's time for the team to decide if they should reprioritize the proposal and opp or if they should mitigate those risks in some way.

To mitigate the risks, you may need to:

• Cap and structure the information the buyer needs instead of feeding the buyer paralysis with more volume.

• Build the decision criteria with them and supply the like-for-like comparison inside your proposal, so the evaluation is structured for them rather than left to chance.

• Surface the full landscape early, so a competitor's analyst placement cannot reopen the decision at contract stage.

• Name good enough explicitly and make the trade-offs visible, so the buyer has a defensible point at which to stop looking.

When mitigation will not move the buyer, reprioritize the deal so it stops distorting the forecast and draining the team.

What this means for your next pipeline review

Take the reframe into your next forecast call and apply one filter. For every deal in commit and best-case, see if the buyer is hitting one of these indecision triggers, not just evidence the buyer is engaged. The deals where the only evidence is activity are your no-decision risk, and they are probably overstated.

If you run a regulated or high-consideration sale, where buyers research hardest and switch least, the four tells deserve a permanent place in your qualification, both at the gate and as a live monitor through the pursuit. The principle underneath all of it is simple enough to put on a wall. You cannot sell your way out of a buyer who cannot buy. You can only diagnose it early, mitigate what is mitigable, and stop paying for what is not.

✹

Frequently asked questions

What is a no-decision loss?

A no-decision loss is when a qualified buyer ends an active purchase without choosing any vendor, including the incumbent. It is caused by the buyer's inability to decide rather than a preference for a competitor, and in complex B2B pursuits it often accounts for more lost deals than competitive defeats.

How is buyer indecision different from a long sales cycle?

A long cycle can be healthy deliberation with a clear end state. Indecision is research and evaluation that never resolves into a decision. The test is not how long the buyer takes, but whether they can name their criteria, hold a decision process when new information appears, and define what good enough looks like.

How can a CRO spot indecision before it wrecks the forecast?

Grade four observable signals at the qualification gate and monitor them through the pursuit: how the buyer searches for information, whether they can explain their evaluation criteria, whether they backtrack when new information appears, and whether they will accept good enough. Deals whose only evidence of health is buyer activity are the highest no-decision risk.

Why does engagement mislead sales teams?

Because buyers now self-educate before contact and arrive with their decision style already formed. A highly active buyer can be active precisely because they cannot decide. Treating engagement as intent inflates commit-stage confidence on deals that will not close.

What should a proposal do differently to reduce indecision?

A proposal should cap and structure information rather than overwhelm, supply the buyer with a like-for-like comparison frame, surface the full landscape early to prevent late reversals, and name good enough explicitly so the buyer has a defensible stopping point.

✹

Sources

Dixon, M., & McKenna, T. (2022). The JOLT effect: How high performers overcome customer indecision. Harper Business. https://books.google.com/books?id=6bFVEAAAQBAJ

Frost, R. O., & Shows, D. L. (1993). The nature and measurement of compulsive indecisiveness. Behaviour Research and Therapy, 31(7), 683–692. https://doi.org/10.1016/0005-7967(93)90121-A

Ferrari, J. R., & Dovidio, J. F. (2000). Decisional procrastination and decision-making style. Journal of Research in Personality, 34(1), 127–137. https://www.sciencedirect.com/science/article/pii/S009265669992247X

stargazy analysis. Win Intelligence Assessment methodology, stargazy.io