Squirrel use cases: how comp teams use real-time pay data

Use case 1

Confirm if the salary surveys are accurate, or if the local market has shifted

One of the most common complaints comp teams hear is that the survey data has the wrong companies or is too old.

Many clients compare Squirrel with their traditional surveys to validate them. Often it confirms the survey data; sometimes it shows the local market has moved since the survey was collected. Either way, showing leaders exactly what a specific competitor posted last week, beside your survey results, builds trust in the data and in your process.

Use case 2

Find salary data before it’s in the salary surveys

Adding a job to a traditional survey can take several cycles: the survey team defines the role, then enough participants have to report it.

Squirrel adds 80,000 to 100,000 postings every day, so data for emerging jobs arrives much sooner. For Blockchain Developers, Squirrel collected nearly ten times as much data as leading technical surveys, and it’s current.

Use case 3

Get more specific salary data than traditional surveys

Survey jobs are usually broad so they’re easy to match. That breadth hides specialized roles.

Salesforce developers, for example, are often grouped with software or application developers. Squirrel has enough postings, called by their common names, to find jobs almost exactly like yours.

Use case 4

Figure out if other local companies are actually paying more

When a big employer opens a distribution center in a rural area, the reflex is to raise pay. Squirrel lets you zoom into the local market and see what it really takes to compete: what new employers post, how many roles they’re hiring and where.

Use case 5

Assess whether your salary surveys are keeping up with a fast market

When recruiting and retention get harder because pay is moving quickly, compare Squirrel’s current posted ranges with your survey data to see whether your surveys are keeping pace.

Use case 6

Set start rates for hourly roles, location by location

For frontline and hourly roles, the start rate is what wins or loses a candidate, and it can differ from one side of a city to the other.

Squirrel shows what nearby employers post for the same roles, store by store, including shift differentials, sign-on bonuses and other incentives where they’re disclosed. Use it to set start rates by location and to see which competitors are moving first.