Why do some research jobs take longer than others?

Compelling processes AI research jobs in the background. How quickly your results appear depends on two factors: how much work your workspace currently has in progress, and how busy the platform is overall at that moment.

To keep things fair for all customers, Compelling automatically adjusts the priority of new jobs based on how many are already running in your workspace. If you have only a few jobs in progress, new ones are processed at the highest priority. If you have a large number of jobs running in parallel, new jobs are given a slightly lower priority so that other workspaces are not kept waiting indefinitely. Your jobs still complete, they just may take a bit longer to start.

This means that if you kick off a large batch of research and then immediately add more items, those newer jobs may be slower to start than they would be otherwise. It also means that platform-wide peaks, when many workspaces are researching at the same time, can add some waiting time regardless of your own volume.

Getting the most out of Compelling

If you need certain results urgently, start those specific companies or contacts first before triggering a large batch. That way they are processed when your workspace priority is at its highest.

If you are running a large batch, it is fine to let it run in the background. Results will come in gradually. There is no need to wait for one list to finish before starting another, but keep in mind that starting a second large batch while the first is still running will slow both down slightly.