When the buyer cannot choose, stop adding options: say which one you would pick, why, and what you would leave out. People choose what they can defend, and your recommendation is something the champion can repeat.
The buyer wants to buy and cannot choose. You showed three options, and they asked for time to think.
Stop adding options. Tell them which one you would pick, why, and what you would leave out for now. A recommendation shares the risk of the choice with the buyer. A menu leaves all of it with them.
It is the second of four things that Matthew Dixon and Ted McKenna, in The JOLT Effect, say top sellers do with a buyer who cannot decide.
Two recommendations published by Challenger, which sells training in the JOLT method. In the first, the seller admits that an integration the buyer asked about is not working as well as it should yet, and ends: "I'd recommend waiting until next year to invest." In the second, the seller says teams of the buyer's size usually do well on the core product, and advises against a higher tier until the team needs five more seats. Both tell the buyer what not to buy.
The authors' test for your wording. Imagine you are selling to your best friend. You would get to the point, say what matters and what does not, and say how much each capability is really worth to them.
A recommendation beat a menu in a buyer survey. Nicholas Toman, Brent Adamson and Cristina Gomez reported in Harvard Business Review in 2017 on more than 600 B2B buyers. Sellers who followed the buyer's lead and laid out a range of options made buying 18% less easy. Sellers who gave a clear recommendation with a reason made it 86% easier. And suppliers who made buying easy were 62% more likely to win a high-quality deal. CEB, now part of Gartner, sold the training built on this. The buyers rated their own experience, and nobody assigned deals to one approach or the other.
The JOLT data. Dixon and McKenna studied more than 2.5 million recorded sales calls, analysed on the platform of Tethr, which sells the software. Offering a recommendation is one of the behaviours they found in top sellers facing buyers who could not decide. Challenger's summary puts medium to high indecision in 87% of deals, with a 30% win rate at medium indecision and 6% at high. The research compared what winners and losers did. It did not assign anyone a behaviour, and the calls are private.
Too much good information stalls a decision. In a 2019 survey of more than 1,000 B2B customers, Gartner found that 89% judged the information they met while buying to be high quality. Customers who met a lot of good but contradictory information were 153% more likely to settle for a smaller, less disruptive purchase than they had planned. Gartner's answer, which it sells to sales leaders, is sense making: filter the information, reconcile the conflicts, and help the buyer reach a view. Brent Adamson makes the same case in "Sensemaking for Sales", Harvard Business Review, January 2022.
People pick what they can defend. Itamar Simonson's 1989 paper in the Journal of Consumer Research showed that an option wins share simply by becoming the middle choice. The effect was stronger when people expected to explain their choice to someone else. A champion always has to explain.
Fewer options is not the reason. In Sheena Iyengar and Mark Lepper's jam study, 30% of shoppers who stopped at a display of 6 jams bought one, against 3% at a display of 24. That result does not hold up in general. Benjamin Scheibehenne, Rainer Greifeneder and Peter Todd pooled 50 experiments with 5,036 people and found the average effect of more choice was about zero. The case for one recommendation rests on the buyer survey and on defensibility, not on choice overload.
Why an options deck stalls its own approval. Nils Brunsson argued in 1982 that weighing many alternatives carefully works against the commitment needed to act, and that organisations act when few options are on the table. Henry Mintzberg and colleagues' study of 25 strategic decisions found the same shape: organisations look for a ready-made answer before they design one, and stop at the first one that is good enough.
No experiment has assigned sellers to recommend rather than present options. The sales figures are buyer ratings and call data from firms that sell the training or the software. The laboratory work on too much choice does not hold up when the studies are pooled. What holds is narrower: people choose what they can defend to someone else.
When the buyer is stuck, recommend one option, give the reason, and say what you would leave out. Keep the menu for the evaluation, not the approval. A recommendation from you is something your champion can repeat to the people they answer to.