How to test GTM engineering before hiring
Test GTM engineering by giving a capable person or partner a meaningful business opportunity to explore and implement, then review the evidence at agreed checkpoints. The work should help you understand what the company could build and what kind of ongoing support would be worthwhile.
1. How can you test GTM engineering before hiring?
An agency, a fractional engineer, or an existing employee can run the exploration. You can choose among them before deciding whether GTM engineering is a capability you want to consume externally or develop within the company. The operating-model guide covers that broader decision.
Begin with an opportunity substantial enough to require judgment. “Increase revenue” describes a desired result but leaves the person doing the work with almost no direction. A useful starting point identifies something the business could become capable of doing and why it might matter.
For example, a sales team could explore preparing a research dossier before important calls, drawing on a prospect's public interviews and writing. The person running the test would decide which information helps the seller, build the research process, and check whether sellers actually use the results.
Other opportunities might involve personalized landing pages or thoughtful gifting tailored to individual prospects. The starting point can be something newly possible with AI. It can also be a reason to replace an existing process entirely.
Choose a scope that lets the person follow an idea through implementation and use. A small isolated automation may reveal little about their judgment; an attempt to redesign all of GTM makes it difficult to learn where the approach is working.
2. Choose someone who can shape the test
An agency with relevant experience may be a good choice when you can describe the capability you want, such as building outbound from scratch. A fractional engineer may fit a less defined assignment that requires substantial time with your team. Either can work if the provider has the strategic judgment and flexibility the assignment requires.
The agency vs fractional guide explains how to examine that fit. A provider who builds exactly what you request may still leave the most important opportunities undiscovered if nobody questions the initial request.
An internal secondment is another option: a software engineer, data engineer, or technical colleague on the GTM team temporarily takes on the exploration. That person already knows parts of the business, which can be useful. They also need the range to connect a commercial opportunity to a working system and explain their choices to the people involved.
Look for evidence that they can question a request, work across technical and commercial concerns, and design an experiment that produces useful information even when the idea fails. Tool familiarity alone provides limited evidence of those abilities.
3. Give an internal test the conditions to work
An employee assigned this work needs meaningful relief from their existing responsibilities. Otherwise, the exploration will compete with the job they are already expected to do.
Give them access to GTM leaders and the colleagues who would use the resulting systems. Name an executive who will support changes across teams. The person also needs permission to question how the current process works, including whether it should continue to exist.
These conditions matter for outside providers too. If nobody can explain the business context or make decisions about adoption, even strong technical work may stall. The test should reveal what GTM engineering could contribute under conditions the company is willing to support.
4. Commit at checkpoints
Before starting, agree on a point at which leadership will review the work and decide what to fund next. Set expectations for what evidence should be available by then, while allowing the investigation to change the original hypothesis.
At the review, examine what was built and what happened when people used it. Ask what the team now understands about the opportunity, which assumptions changed, and why the proposed next step is worth pursuing.
A failed experiment can still justify continued investment. It might reveal that a data source is unsuitable or that the team needs a different approach. For that learning to be useful, it should change the next decision. Repeatedly claiming to have learned something while repeating the same mistakes is a reason to reconsider the work.
Early commercial signals can help, but revenue may take longer to observe and depends on factors beyond the experiment. Keep expectations tied to the scope of the test and the decisions the evidence can support.
5. Use the result to choose the next commitment
A disappointing result deserves diagnosis. The opportunity may be weak, the person may lack the necessary skills, or the company may have failed to provide access and support. Those explanations call for different responses. One unsuccessful project provides limited evidence about the value of GTM engineering across the company.
A successful test also leaves choices open. You might continue with the provider, explore another opportunity, or bring the work in-house. The next commitment should reflect what you learned about both the opportunity and the ongoing work.
If the exploration reveals a need for someone to keep discovering projects and reshape how teams work together, the guide to bringing GTM engineering in-house covers the hiring decision. Document the reasoning and the experiments along the way so the next person can build on what you learned.
Frequently asked questions
How can you test GTM engineering before hiring?
Scope a meaningful opportunity that includes diagnosis and hands-on implementation, then review the evidence at an agreed checkpoint. Use the result to decide which capabilities matter and what support should come next. An agency, fractional engineer, or suitable internal employee can run the test.
Can an existing employee run the test?
Yes, if they have sufficient technical and commercial judgment, protected time, and access to the teams involved. Give them an executive sponsor and permission to reconsider existing processes. Their regular responsibilities need to be adjusted to make room for the work.
Does a failed experiment mean we should stop?
A failed experiment can justify another attempt when it changes your understanding and points to a worthwhile next step. Examine whether the problem was the opportunity, the execution, or the company's support. Continued investment needs evidence that the work is improving subsequent decisions.
Does a successful test mean we should hire full-time?
A successful test gives you evidence for the next decision. Continuing with external support may still make sense. An in-house hire becomes attractive when ongoing discovery and deeper involvement in the company justify developing the capability internally.