Noise Suppression Audit (QA)

Noise Suppression Audit (QA)

1. 01

   Pull the last 30 days of raw alerts from every monitoring source before any filtering layer

   Export unfiltered output from each service in the stack so the audit measures what the tools actually emitted, not what survived the digest. A trend discovery platform, a page-change watcher, and a thought-leader digest will each produce wildly different volumes.

2. 02

   Tag every alert against the client's stated business question for the quarter

   Three buckets only: directly actionable, context-building, and irrelevant. If a client has no written quarterly question, stop and get one before scoring anything.

3. 03

   Compute the action rate per source and flag anything below 20 percent

   Fewer than half of agent-generated insights lead to meaningful action at surveyed organizations, so a 20 percent floor is already generous. Sources that fail the floor get their scope narrowed or their cadence cut.

4. 04

   Check for duplicate coverage of the same underlying event across sources

   Deduplicate before counting. Near-identical headlines from multiple outlets inflate perceived signal volume and make the stack look more productive than it is.

5. 05

   Verify that at least one source captures first-party statements rather than secondhand coverage

   Secondhand reporting lags the original announcement and adds interpretation. A digest of what named operators actually published keeps the retainer's early-warning claim honest.

6. 06

   Test the alert latency against the client's decision window

   If the client plans content monthly, a signal that arrives 48 hours before publication is worthless. Record the median lag from event to alert for each source.

7. 07

   Document the suppressed categories and get client sign-off on the exclusion list

   Write down what the agency deliberately ignores and why. This protects the delivery team when a client asks why a competitor's viral moment was never flagged.

8. 08

   Re-run the audit at the next quarterly business review

   Signal quality decays as sources change their algorithms and feeds. A fixed annual review lets noise creep back in for two quarters.