Consultative Discovery and Requirements Gathering Questions

Direct answer

Treat the Chief Information Security Officer's (CISO's) refusal as a legitimate constraint, not an obstacle. I would gather evidence in steps that need progressively more access: documents, then metadata (field names and volumes), then aggregates the CISO's team computes, then redacted or synthetic samples, and only later supervised access. I build trust by asking for the minimum, explaining why each item is needed, showing how it is protected, and delivering visible value after each step so the next request is easy to grant.

Understand the concern first

Ask: "What are you most worried could go wrong if we saw logs?" The answer is usually data exposure of personal data (PII, personally identifiable information), secrets in logs, or the vendor copying data. Each concern points to a specific control you can offer.

The evidence ladder

Plain meanings

• A control is one safeguard, such as "logs are encrypted" or "access is reviewed every quarter". A testable control can be checked with pass or fail.
• Aggregates are totals computed from many records (counts, averages), so no single record is visible.
• Redacted samples are real records with the sensitive fields blacked out: they keep real quirks but still carry some leak risk. Synthetic data is invented records in the real format that describe nobody: no leak risk, but it can miss real edge cases.

Worked example (illustrative): designing a log-analytics pipeline

My one-page request: "For each of the five log sources: daily event count, list of fields, which fields hold personal data, and the retention setting." Then three questions they run: "What share of events lack a user identifier?", "What is the largest single event size?", "How many events per second at the daily peak?" Those answers size the pipeline without anyone seeing a raw event. I also elicit the compliance side as testable statements: "no log containing personal data leaves the EU region", "all access to logs is itself logged".

Designing without full data

Write down each assumption (for example, "peak is below 5,000 events per second") with a value to be confirmed, and make the design parameterised so a corrected number changes a setting, not the architecture. For example, the pipeline reads "maximum events per second" from a configuration value set to 5,000. If the CISO's team later reports 8,000, you change that value and re-size the hardware, you do not redesign the pipeline.

Building trust over time

1. Offer controls: nothing leaves their environment, time-limited access, an access log they can audit.
2. Keep every promise, including deadlines for what you return.
3. Share what you learned from level 1 to 3 back with them so they see the value.
4. Make the next request smaller than they expect.

Pitfalls

• Escalating over the CISO's head, which spends the trust you need.
• Asking for "all the logs" with no stated purpose.
• Quietly guessing the data and presenting it as fact.