Peekaboo
Troubleshooting and account

Troubleshooting and account

My Analysis Didn't Run On Time

Understand why your refresh time can shift and why partial results mid-run are expected, not broken.

2 minute read · Last reviewed: August 14, 2026

You expected fresh data at a certain time and it's not there yet, or your dashboard shows partial results mid-run. Here's what's actually happening.

Why the exact hour can shift

Your tracking schedule is a rolling interval counted from your last completed run, not a fixed time of day. If Starter runs every 2 days and Peek or Grow runs daily, that count starts from when your previous run actually finished, not from a fixed clock time. If one run happens to land a few hours later than usual, for instance because of a temporary delay upstream, the next one shifts by roughly that same amount. The system checks hourly for brands whose next run has come due, so a run can start up to around an hour after its technically-due time.

Why you might see partial data mid-run

Once a run starts, it processes your prompts across all 5 AI models in batches over a few minutes at a time, rather than completing everything in a single instant. A brand with a large number of prompts can take anywhere from a few minutes up to roughly an hour to fully finish once the run kicks off. If you check your dashboard right after a run starts, you may see some prompts updated and others not yet touched, that's the run still working through the queue, not an error.

Stuck or failed runs

If an individual run gets stuck partway through, for instance if something fails mid-process, the system automatically catches and resets it so it isn't silently lost, and failed jobs are automatically retried on a schedule. You generally don't need to do anything for a stuck or failed run, it should recover on its own within a couple of hours.

When to contact support

Reach out to team@aipeekaboo.com if:

  • A run hasn't started or completed after several hours past when you'd expect it
  • The same prompt keeps failing to produce a result across multiple scheduled runs
  • Your dashboard has looked stuck on the same data for longer than your tracking cadence would explain

Include your workspace email and the brand name so it can be looked into quickly.