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Your bonus program is only as good as the data behind it

If the data’s a mess, your team’s trust—and your bonus program—goes out the window. Here’s how to keep it clean, consistent, and coaching-ready.

Let’s start with a story:

It’s Friday.
Your landscaping crew finished a three-day job in two.
No callbacks.
No rework.
They’re proud.
Motivated.

Monday morning: their bonus statement hits.
$0.
Why?
Time logs weren’t submitted.
The job wasn’t closed out in Aspire.
Revenue didn’t sync in Protiv.

Suddenly, it’s not just “bad data.”
It’s personal.
Trust is gone.
Motivation dips.

And next Friday?
That crew isn’t pushing nearly as hard.

That’s the real cost of bad data. Not just broken numbers—broken trust.

Why data is the backbone of your bonus program

Every ProPay and Bonus Statement is built from three key inputs:

  • Completed Jobs — If the job isn’t marked complete in your time-tracking system, we don’t know it happened.
  • Approved Time Logs — These tell us who worked when. No logs? No ProPay.
  • Confirmed Revenue — This is how we calculate what a job is worth. If it’s missing or wrong, payouts suffer.

When any of those are off, your bonus program goes sideways. And your team starts thinking:

  • “Why push harder if my effort doesn’t show up?”
  • “Why bother logging time if nobody checks it?”
  • “Why trust a system that doesn’t trust me?”

Clean vs. Dirty Data: A Quick Side-by-Side

Clean Data

Dirty Data

Jobs marked complete the same day

Jobs left open for days or weeks

All time logs submitted and approved

Logs missing or left as drafts

Revenue verified before payout

$0 jobs because nobody entered revenue

Bonus Statements reviewed weekly

Bonus Statements with constant edits

Clean data → clear coaching → consistent culture
 Dirty data → team friction → lost performance

Why this matters more than you think

You’re not just “logging info.” You’re building a performance loop:

  1. Worker performs a job
  2. Data flows into Protiv
  3. Bonus gets generated
  4. Team sees results
  5. Manager coaches based on it
  6. Worker gets better

But if step 2 breaks down, everything else does too.

What clean data actually looks like

Let’s define it once and for all:

✅ Jobs marked complete in your time-tracking system
✅ All time logs submitted and approved (daily or weekly)
✅ Revenue entered correctly for every completed job
✅ Bonus Statements reviewed before pay period ends

If you can check all those boxes each week, you’re ahead of 90% of the field.

A weekly routine that protects your bonus program

Want to stay ahead of chaos? Make this a habit:

Every Friday: Bonus Data Hygiene Checklist

  1. Review “Open Jobs” in your time-tracking platform
  2. Approve all pending time logs
  3. Confirm revenue entries for completed work
  4. Clean up any Bonus Drafts in Protiv
  5. Spot-check the Bonus Statements before payout

This takes 10–15 minutes a week—and it saves you hours of cleanup later.

One last coaching tip

Don’t make it all on you.

  • Have team leads close jobs
  • Make time log approval part of your end-of-week rhythm
  • Treat data checks as part of leadership, not admin
Because when your team’s trust is tied to your data, data is no longer back-office.
It’s front-line leadership.