Technical buyer vs economic buyer: what evaluators report

The distinction concerns the work someone does in a purchase. A technical buyer assesses how a product works and fits the organization’s needs. An economic buyer has overall authority over the buying decision in the MEDDICC framework. Those are useful questions to investigate, but a job title alone does not answer them. ^[3][4]

Our study uses a narrower, directly observable measure: the responsibilities people selected in a survey. Respondents could identify several roles in choosing or using software at their organization. We focused on those who selected evaluation, recommendation or shortlisting, then checked whether they also selected final purchase decisions and budget approval or management. ^[5]

These survey options are not interchangeable with sales-framework labels. An evaluator need not be a technical specialist. Someone who manages a tool budget need not hold overall purchase authority. Selecting both decision and budget responsibilities does not establish that the person performs both for the same tool.

That distinction keeps the practical question useful. When a prospect asks for a technical comparison, a marketer has evidence of an information need. The next conversation can establish what that person is evaluating, what they can decide, and who else needs evidence.

Among 9,664 respondents who selected evaluation, recommendation or shortlisting in Stack Overflow’s voluntary international 2026 survey, 7,505 selected neither the final-decision option nor the budget approval or management option. That is 77.7% of this evaluator group. It is the largest of the four categories in the table below. ^[1]

The other categories show the overlap that a simple evaluator-versus-buyer split would miss. A total of 1,041 evaluators selected both responsibilities, 744 selected final decisions without the budget option, and 374 selected the budget option without final decisions. Their respective shares were 10.8%, 7.7% and 3.9%.

Each evaluator appears in exactly one category. The percentages describe the same group of respondents, so they can be read together. Their rounded values add to 100.1%; the underlying counts add to exactly 9,664.

“Neither selected” needs careful reading. It records the two options a respondent did not choose. It does not verify that the person lacks authority, has no influence, or cannot introduce someone else. The survey also did not identify one purchase whose participants we could reconstruct.

Keep the evaluator’s question at the center of the first response. If someone needs to understand an integration, give them an explanation that names the supported connection, the required setup and any material constraint. A general business case may be relevant later, but it does not resolve an unanswered compatibility question.

Then ask where that evidence will go. Will the person use it to test the product, recommend a shortlist, prepare a budget discussion or make a decision? More than one answer can be true. The overlap in the survey is a reason to allow that possibility when you write a brief.

For a creator explaining business software, this changes the assignment. A demonstration can answer a concrete evaluation question while giving viewers a reference they can share. The brief should identify what the demonstration can establish and where a viewer can check the underlying product information. It should not require the creator to imply purchasing authority or a completed sale.

For an agency, the distinction belongs in the handoff between content and sales. Record the question the contact asked and the evidence supplied. Keep any answer about budget or final approval separate, including whether it concerns this specific purchase. That makes the record understandable to the next person without converting a content interaction into an unverified buyer label.

For a marketer, the useful inference is to give reported evaluation, budget and decision responsibilities separate fields. That preserves what a contact has actually said and makes the next unanswered question visible.

Use the following prompts for one intended purchase. Leave an answer open when it has not been established. A blank makes an unresolved question visible; filling it from an assumed job title would hide it.

Purchase under consideration: What tool, plan or change is being considered? Name the proposed use and the team that would use it. Record whether the conversation concerns a new purchase, a replacement or an expansion.

Evaluation task: What does the contact need to assess? Write the question in their words, such as whether a connection supports the required workflow. Note what would count as a satisfactory answer and who can verify the product detail.

Evidence to supply: Which demonstration, specification, worked example or reference answers that question? Name its owner and the date it was checked. Distinguish a currently supported feature from a proposed capability or an illustrative example.

Budget responsibility: Does the contact approve the budget, manage it, prepare a request, or have another role? Ask about the intended purchase specifically. Record any remaining uncertainty instead of compressing these different tasks into a single budget-owner label.

Final decision: Who can approve this purchase, and what still needs to happen before that decision? Keep the person who makes the recommendation distinct from whoever makes the final decision when the contact describes them as different people.

Other participants and next step: Who else needs to review the evidence? Agree which document or conversation comes next, who will prepare it and when the contact wants it. A creator, marketer and salesperson can then work from the same stated question.

Use this as a conversation record. Revisit the fields when the intended purchase or participants change, and distinguish a contact’s answer from an assumption that still needs checking.

Imagine a software business preparing a demonstration for an agency. The agency’s operations lead wants to know whether the product can pass an approved campaign into the team’s existing reporting workflow. This is a fictional example of using the brief; it is not an observed respondent or a measured campaign.

The first version of the brief could say: “Purchase under consideration: a tool for the agency’s campaign handoff. Evaluation task: confirm the exact handoff the operations team needs. Evidence: a documented example using a supported connection, with the setup requirements beside it.” That is enough to give a creator or product specialist a focused assignment.

Before recording the demonstration, the team verifies the connection. If it is unsupported, that answer belongs in the brief and the next conversation. If it works only with a particular plan or setup, the example needs to make that condition clear.

Next, the marketer asks what happens after the technical review. Suppose the contact explains that they will recommend a tool, a finance colleague will review the budget request, and a director will make the final decision. These are assumed answers for this example. They should be recorded as separate responsibilities for this purchase, with the people and unresolved steps the contact identifies.

The content plan can now be concrete. The evaluator receives the checked workflow demonstration and its reference. The person preparing the budget request receives the current price, scope and any known implementation costs. The final decision discussion can use a short summary of the proposed use, confirmed requirements and remaining questions.

All three pieces should use the same underlying product facts. A business summary should not promise a capability missing from the demonstration. A technical page should not conceal a material plan requirement that changes the price. Giving the materials different emphasis does not justify giving them different facts.

If the contact instead says they evaluate the tool, manage its budget and make the final decision, the brief can reflect that overlap. The team might supply one concise package with clearly separated sections. The survey does not tell us which arrangement applies to this agency; the conversation does.

The next step is concrete: confirm the requested workflow, send the agreed evidence and record which questions remain. When the contact replies, the team can update the relevant field instead of rebuilding its understanding of the purchase from scratch.

We used the public 2026 Stack Overflow Developer Survey release, pinned to a specific archive version so that another analyst can retrieve the same input. It contains 30,903 responses. The producer reports fieldwork from June 23 to August 5, 2026, with respondents from 169 countries. Participation was voluntary; the results describe this released response group rather than a representative sample of all businesses or software buyers. ^[1][2]

The software-role question was optional and allowed multiple selections. We kept the full group of 20,042 respondents who answered it when checking the published question totals. The main analysis then included all 9,664 who selected evaluation, recommendation or shortlisting. Each percentage in our main table uses that evaluator denominator. ^[1][5]

Before reading the joint answers, we fixed the input version, exact option labels, missing-value rules, inclusion rules and four categories. We checked the source file, column definitions, unique response identifiers, question routing and nonmissing counts. Both independently written implementations reproduced the question denominator and all six published option counts exactly.

For each evaluator, we checked whether the final-decision and budget approval or management options were selected. Each response falls into one of the four categories according to those selections. We divided each category count by 9,664 and rounded percentages independently to one decimal place. There are no survey weights, population confidence intervals or causal estimates in this analysis.

We also specified two additional checks in advance: a version excluding evaluators who simultaneously selected the no-role option, and a breakdown using five fixed employer-size groups. The complete sensitivity result and the complete size breakdown are withheld because they did not meet our preset reporting rules. We do not use either unpublished result to claim stability or differences by employer size.

The main group must have at least 500 respondents and no positive cell smaller than ten. The sensitivity must itself have at least 500 respondents, no positive result cell smaller than ten, and no positive excluded cell smaller than ten. That last condition guards against revealing a thin group through subtraction. For the size breakdown, all five fixed groups must each have at least 100 respondents and no positive cell smaller than ten. Failure withholds the entire relevant panel; we did not combine categories after seeing the answers.

These are editorial support and reporting safeguards, not a claim of statistical representativeness or a formal privacy guarantee. We retain the producer’s released cohort. Its internal consent, quality and bot flags are not provided in the public file, so we cannot independently reconstruct every decision used to create that cohort. ^[2]

The questions describe responsibilities at an organization, not a verified transaction. One person’s selected tasks may relate to different tools. Nonselection is not proof of lacking authority, and the answers do not identify other people in a buying group. These boundaries matter when taking a survey percentage into a customer conversation.

The downloads provide the supported aggregate results, calculation code and the exact method. They contain no respondent records or identifiers. The source survey is available separately under the Open Database License and Database Contents License, with the applicable attribution and notices retained in our reproduction package. ^[6][7]