The safest way to evaluate a nearshore engineering team is not a long proposal; it is a short trial on one bounded task. Two weeks is enough to see how a team communicates, how it reviews its own work, and whether it delivers something your engineers would accept. This guide covers how to set it up so the result is a decision, not an opinion.
1. Choose the right task
A good trial task is:
- Bounded. It can be finished in two weeks by a small team without redesigning your whole system.
- Real. It matters to you, so the team is working on something you will actually use.
- Low-risk. It does not require production secrets, customer data, or irreversible changes.
- Measurable. You can tell whether it is done and whether it is good.
- Representative. It exercises the work you would hand over later, such as a feature, a migration step, a test suite, or an integration.
Avoid tasks that are vague, that depend on decisions nobody has made, or that need weeks of context before anyone can start.
2. Write the scope down
A written scope turns the trial into something you can evaluate. Include:
- Objective. One sentence on what the task achieves.
- Deliverables. What exists at the end, such as pull requests, tests, documentation, or a demo.
- Acceptance criteria. How you will decide the work is done and good enough.
- Out of scope. What the team should not touch.
- Dependencies. What you need to provide and by when.
- Review points. When you will look at the work and give feedback.
3. Set up access with least privilege
Give the team only what the task needs: the repositories, environments, and tools involved, with limited permissions. Agree in writing who can approve changes and what automated tools or agents are allowed to do. Keep production credentials out of the trial unless the task truly requires them, and agree how access is removed at the end.
4. Agree a working rhythm
With a nearshore team you can use the hours you share. A simple rhythm works well: a short daily check-in, a mid-trial demo, and a final review. Ask the team to work in your repositories and follow your review process, so you see how they behave inside your real workflow.
5. Evaluate what matters
By the end of two weeks, look at:
- Quality. Would your engineers merge this? Are there tests?
- Communication. Did the team ask good questions early and surface problems quickly?
- Understanding. Did they grasp your context, not just the ticket?
- Documentation. Is the work explained well enough for your team to maintain it?
- Reliability. Did they deliver what they said, when they said it?
- Review discipline. If AI agents were used, who reviewed their output and how?
6. Decide
At the end of the trial there are three honest outcomes: continue with a larger scope, adjust the scope or the way of working, or stop. A good trial makes any of these easy because you have evidence.
Red flags
- The team will not agree to a written scope.
- Access requests go far beyond the task.
- No one can say who reviews the work.
- Questions are not asked until the end.
- The terms for what happens after the trial are unclear.
How our trial works
At Mexico AI Services, the trial covers one bounded task with a written scope. The Pod works on it for two weeks at no cost, and if you do not continue you owe nothing. If the agreed scope is not delivered within the month, work continues at no additional cost until it is completed. Terms apply. You can read more on the Nearshore AI Pods page or learn what a Forward Deployed Engineer does.