In one of last year’s tips, I mentioned how fitness trackers can be useful as long as we remember they’re just tools. Today I want to build on that idea with something I’ve been thinking about recently: why our progress sometimes feels slower than it actually is.
And I’m not talking about just strength training, weight loss, or other physical improvements. This feeling can show up with skill development, education, sleep habits, work productivity, or pretty much any other area of life where progress happens through repetition.
It ties into a psychological phenomenon researchers call the monitoring frequency effect (MFE): the more often we check something, the slower it appears to change.
There’s a reason this happens. But more importantly, understanding it can help us reduce its impact, feel better about the progress we’re making, and stay more consistent with our actions.
Why frequently observed changes look smaller than they really are
When we track outcomes frequently (like daily weigh-ins or nightly hours slept), we observe tons of small changes:
“Up a little today.”
“Down a little tomorrow.”
“Same the next day.”
Each check-in generates a tiny judgment. And when those tiny judgments accumulate, we mentally “sum up” our judgments of the data—not the data itself.
That’s the big catch.
Because each judgement equated to “small change”, our brains (which are great at pattern recognition) conclude that the overall change was small, even if the actual sum of the changes was meaningful.
On the flip side, checking outcomes less often leaves us with fewer, but typically larger, changes between data points. Consistent judgements that say “large change” then give us the sense that the needle is really moving, even when the overall change is identical.
For example:
- Thirty days of weight changes that range from -0.3 (loss) to 0.1 (gain) pounds, averaging -0.1 pound per day, add up to a 3-lb weight loss over a month. But our brains often remember each day’s changes as “a bunch of little nothings”.
- Alternatively, weekly check-ins showing -0.7, -0.3, -0.9, and -1.1 pounds feel more meaningful because the changes are larger, even though the total weight loss over the same timeframe was still three pounds.
Same outcome, completely different feeling.
This is why daily check-ins for weight or sleep can make us feel stuck even when the weekly or monthly trend is improving. Or why learning a new skill (like a kettlebell snatch, martial arts technique, or new work task) can feel like it’s taking forever, even when intentional repetition is doing exactly what it’s supposed to do.
Progress isn’t the problem. The zoom level (i.e. frequency of observation) is.
Why this matters for consistency
Consistency is often challenging not because the actions are difficult, but because we don’t get instant proof that they’re working. If every check-in feels slow, small, or flat, sticking with the process takes more psychological effort.
But when we zoom out—looking at weekly or monthly trends instead of daily wiggles—the story usually changes because the amount of progress appears more substantial.
This is where the MFE becomes especially relevant.
Our perception of progress heavily influences our motivation to continue. Even when real progress is happening, it’s easy to quit (or make constant, unnecessary adjustments) if progress feels slow because our efforts seem mismatched with our results.
So the real skill isn’t just trying to be consistent. It’s learning to see our progress accurately. And that often requires zooming out.
Putting it into practice
Here’s a simple framework to help you get the benefits of tracking without falling into the “zoomed-in” trap.
1. Pick a monitoring frequency that matches your psychology.
Daily tracking works well for some people. Others more easily feel discouraged by daily fluctuations and do better with 1–3 check-ins per week.
Researchers seem to agree that there’s no single best frequency other than the one that helps you balance feeling good about your progress while also recognizing when an approach needs adjusting.
2. Regardless of monitoring frequency, treat each data point as simply “information.”
Not a grade or a verdict of your self-worth. Not a sign that “nothing is working”. Just feedback that helps you…
3. Make changes based on trends, not points.
Individual data points are almost meaningless on their own. What matters more are weekly and monthly trends. Use those bigger-picture patterns to decide what needs to change and what’s already working.
4. Practice the skill of zooming out.
Noticeable improvements in any endeavor follow a predictable rule: they look slow up close and obvious when you step back.
Zooming out is a skill. The more you practice it, the better you’ll feel about your progress and the easier consistency will become.