Stop Asking Your Sales Stack to Understand the Buyer for You

A completed field is not a completed decision

Before you automate another part of the sale, ask a less comfortable question: do we understand what the buyer needs, or have we merely captured what they said? Our recommendation is to separate those jobs. Use technology to collect and organise information. Decide explicitly who handles the meaning, trade-offs and unanswered questions before that information drives a commitment.

Do not assess a tool against the vague ambition to “make sales more efficient”. Name the task: record a requirement, suggest a configuration, or decide what to promise. Those tasks carry different consequences when the buyer’s answer is incomplete. A useful evaluation should show which decision remains with a person, rather than treating every filled field as an answer. For a first pass, ask how much your solution changes between buyers and how much their requirements differ. These are practical prompts, not a formal complexity score.

What the research actually supports

The authors of The contingent effects of innovative digital sales technologies on B2B firms’ financial performance propose assessing offering complexity and demand complexity before deciding how extensively to implement digital sales technologies. This is their recommendation, not a rule that a complicated sale automatically needs more software. [1]

In their discussion, the authors also argue that human involvement, including empathy and intuition, becomes more important as customer requirements become more complex. We use that as a reason to examine the division of work between technology and people, not as proof that a particular staffing model improves revenue. [1]

These recommendations come from cross-industry B2B research, not a SaaS-only population. They are attributed author interpretations, not a verified promise of returns from a particular sales tool. [1]

The worksheet below is our proposed application. It is not the paper’s measurement instrument or a validated sales-performance model.

Same words. Different job.

Consider a fictional workflow-software company evaluating a system that turns discovery notes into a recommended configuration. A buyer says, “We need approval controls.” One prospect means a manager approving a purchase. Another needs different approval routes across business units, with exceptions for urgent work. The same phrase does not tell the fictional seller which design to promise.

In this fictional example, the sales leader keeps the tool for capturing the request and highlighting missing details. A solutions consultant asks the second buyer who can approve what, which exceptions matter and what the existing process must preserve. The completed decision is specific: allow the tool to prepare the record; require that conversation before proposing a configuration. No revenue improvement or customer outcome is claimed.

Do not put a human checkpoint everywhere

A standard requirement with a clear answer is a credible alternative. If the buyer asks whether an existing feature is included in a named package, use the maintained product information and an appropriate automated response. Escalate contradictions or missing information. Do not add a specialist meeting simply to make the process look responsible.

Apply the same distinction when buying software. If the real gap is an unanswered customer question, first test a better question with the current team and tools. If the answer is already well defined but repeatedly lost or copied, evaluate automation for that recording task. Buying nothing new must remain a valid decision.

Make the tool prove one useful thing

Choose a repeatable requirement and a genuinely ambiguous one from comparable, anonymised opportunities. Record what the tool captures, what it leaves unresolved and what decision a person would make differently. Agree what would make a limited trial worth continuing before seeing its output. Track useful work saved alongside corrections and unresolved requirements; a polished summary alone is not your success measure.

Leave with a boundary you can explain: automate this task, ask this customer question, and name this person to handle exceptions. Expand the trial only when the actual records justify it. The goal is a better division of work, not a longer software shopping list.

Use the worksheet

Download the three-page guide for a fictional worked example and a worksheet to decide what to automate, what to clarify with the buyer and who handles exceptions.

Sources and limits

The contingent effects of innovative digital sales technologies on B2B firms’ financial performance · International Journal of Research in Marketing · 2024. Maximilian Friess, Till Haumann, Sascha Alavi, Alexandru Ionut Oproiescu, Christian Schmitz and Jan Wieseke. CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Recommendations paraphrased from pages 15–16. Cross-industry B2B research, not SaaS-only; attributed author interpretations, not a verified ROI promise. GTMA’s worksheet and fictional example are proposed applications, not the study’s measurement instrument.

Source support checked 2026-10-12. Practitioner accounts and proposals are identified in the article; a citation does not turn a suggestion into a proven outcome.