Practice a Technical Due-Diligence Conversation
Practice technical due diligence by turning broad claims into evidence requests and separating confirmed constraints from unknowns.
TL;DR
- In this fictional technical due diligence interview, you are evaluating a small software service your team may depend on.
- Use an evidence ledger with separate states: verified, unresolved and confirmed limitation.
- Do not claim that due diligence can eliminate every future failure.
The practice prompt
In this fictional technical due diligence interview, you are evaluating a small software service your team may depend on. The presentation says it is reliable, easy to integrate and ready for growth. You have an architecture diagram and a short demonstration, but no operational evidence yet.
The interviewer asks what you would investigate. Avoid responding with an unprioritized list of every possible engineering concern.
Start with the intended dependency: what your product would ask the service to do, which users would be affected and what happens if it stops working.
Related reading: Panel Interviews for Software Engineers: Prepare a Clear Technical Conversation.
Translate claims into inspectable questions
A broad adjective becomes useful when tied to behavior and evidence. Ask for information that would change the decision, not documents collected only to make the review look thorough.
| Claim | Focused evidence request |
|---|---|
| Reliable | Relevant failure history and recovery behavior |
| Easy to integrate | A representative task using the documented interface |
| Ready for growth | Evidence for the workload your use would create |
| Maintainable | Ownership and process for consequential changes |
| Replaceable | A demonstrated path to retrieve required data |
These requests are examples to adapt. The scenario has not established that the service is deficient simply because the evidence is not yet available.
Keep unknowns distinct from findings
Use an evidence ledger with separate states: verified, unresolved and confirmed limitation. Record the source, date and scope of each finding.
An unanswered question is not proof of a flaw. It may still be a reason to delay a decision if the uncertainty is consequential. Explain that distinction in your answer.
Likewise, a successful demonstration supports the behavior shown under those conditions. It does not automatically establish every operating claim made in the presentation.
Prioritize the dependency boundary
Focus first on the places where the service's behavior could prevent your product from completing its core task. Ask how failures are detected, how responsibility is divided and what recovery your team can perform.
For the fictional case, suppose your application must know whether a submitted job completed. Inspect how that state is represented and what happens after an interrupted request. You do not need to prescribe an implementation before understanding the service's actual contract.
Our system design preparation guide can support broader practice with requirements and constraints.
Present a bounded recommendation
Summarize the evidence that supports proceeding, the limitations that require a plan and the unknowns that block commitment. Name who can accept each remaining risk within the organization.
Do not claim that due diligence can eliminate every future failure. The aim is a decision made with relevant evidence and explicit responsibility.
A practice partner can introduce a deadline or a missing document. Explain which uncertainty is tolerable for a limited trial and which one prevents the intended production dependency.
Review your answer
Look for questions that were too broad to produce useful evidence. Replace “Is it scalable?” with the workload and behavior you need to understand.
Check whether you treated the evaluated team fairly. A careful interview answer can challenge a claim without assuming incompetence or bad faith.
The rehearsal succeeds when another person can follow the path from proposed dependency to evidence, findings and recommendation. That is more persuasive than a long checklist whose items have no clear effect on the decision.