Lasting change guide · October 26, 2026
What 1,378 weekly check-ins taught me about why people stall
By Dai Manuel · Updated October 26, 2026
Eight years of client reflection forms, analysed in aggregate. Time was the most-named obstacle, but it did not decide who trained. Tracking and week five did.

People rarely stall because they run out of time. Across 1,378 weekly check-ins my coaching clients sent me between July 2017 and April 2025, time was the obstacle they named most often, yet the people who named it completed their workouts about as often as the people who didn't. What separated them was whether they were tracking what they did, and how far into the program they were.
Key takeaways
Key takeaway
- Time was the obstacle clients named most, but it did not separate those who trained from those who did not. Tracking went with far higher workout completion, and completion slipped after week four.
From 2017 to 2025, clients in my programs (MERGE60, Life By Design, MF10C and the Whole Life Manifesto Coaching Program) filled in a weekly reflection form before their coaching call, and I read every one before we spoke. Their wins, the workouts they did or missed, how they ate, their biggest challenge, and what they would commit to next week. Over eight years that added up to thousands of answers.
This year I had 1,378 of them, from seven weekly reflection forms, pulled into one anonymised dataset and coded. No names, no quotes, only counts and percentages. Here is what came out, including the parts that surprised me.
This is coaching data, not medical advice. If you have a health condition, talk to your doctor before changing how you train or eat.
What did 1,378 weekly check-ins show?
Five findings stood out:
- Time was the most-named obstacle (28% of answers), but it did not separate the people who trained from the people who did not.
- In the weeks people tracked, they completed their workouts far more often. In one program, 66.7% versus 20.7%.
- In business coaching, money worries clustered in the first month and faded after.
- Answers of "no challenge" rose late in programs, from 1% in weeks 1 to 2 up to 8% at week 9 and beyond.
- Workout completion peaked in weeks 3 to 4, then dipped, reaching its lowest point at week 9 and beyond.
None of this proves cause and effect. These are self-reports from people who chose to fill in a form, and I set out the limits in full further down. The patterns are consistent enough, though, that they changed how I coach.
Is lack of time really why people stall?
Time was the obstacle named most often. Of the 1,360 check-ins with an answer to "What is your biggest challenge at the moment?", 380 (28%) mentioned time or schedule. In the lifestyle programs it was 32%. In the business programs, growing the business (clients, sales, offers) led at 42%, then planning and focus at 33%, with time at 24%.
So people say time. Constantly. Then I looked at whether it made any difference.
Among check-ins that mentioned time, 43.5% reported completing all their scheduled workouts that week. Among those that did not mention time, it was 40.2%. Across the three forms that asked both questions, the odds ratio was 1.1, which is close to no difference at all.
Other challenges did line up with fewer completed workouts. Mentions of motivation or consistency (odds ratio 0.6), planning and focus (0.7), confidence and self-talk (0.6) and injury or illness (0.4) were all linked to fewer completed workouts. Some of those groups are small (49 check-ins mentioned illness, 53 mentioned confidence), so treat them as a direction rather than a verdict.
My read: "I don't have time" is often an honest description of a week that feels full. It is rarely the thing actually stopping the training. The people who said it still trained about as often as everyone else. The ones who struggled were more likely to be wrestling with consistency, a plan that wasn't clear, the voice in their head, or a body that hurt.
One pattern I didn't expect. People who named nutrition as their biggest challenge were more likely to be completing their workouts (52% versus 36%). A plausible reading is that once training is running, food becomes the next obstacle. That is a reading, not a finding.
Does tracking actually make a difference?
Workouts completed in weeks clients tracked vs did not track
%
| Condition | Value |
|---|---|
| Life By Design: tracked (n=63) | 66.7 |
| Life By Design: not tracked (n=145) | 20.7 |
| 2024-25 program: tracked (n=93) | 35.5 |
| 2024-25 program: not tracked (n=27) | 3.7 |
This was the biggest gap in the whole dataset.
Two of the lifestyle forms asked a tracking question and a workout question in the same check-in. In Life By Design, clients were asked whether they had been completing their weekly checklist. In MERGE60, in 2024 and 2025, they were asked whether they were tracking their daily activities and habits.
In Life By Design, 66.7% of check-ins where the client tracked also reported completing all scheduled workouts (42 of 63). When they did not track, it was 20.7% (30 of 145).
In the 2024 to 2025 MERGE60 program it was 35.5% (33 of 93) versus 3.7% (1 of 27). That gap is large, but the "not tracked" side rests on a single person, so the margin of error is very wide.
The Whole Life Manifesto Coaching Program asked a slightly different question: had the client completed that week's nutrition lessons? Same direction. 62.6% (112 of 179) completed their workouts when they had done the lessons, versus 33.3% (26 of 78) when they had not.
Every form pointed the same way, by a wide margin.
Here is the honest part. This is an association between two things people reported about the same week. It does not show that tracking causes training. It could easily run the other way: in a good week people do everything, including the checklist, and in a bad week the checklist is the first thing to go.
The wider research is more direct. A 2016 meta-analysis in Psychological Bulletin pulled together 138 studies with 19,951 participants in which people were randomly assigned to a progress-monitoring intervention or a control group. Monitoring progress improved goal attainment, and the effects were larger when the information was physically recorded or when the outcomes were reported or made public. A weekly form that goes to a coach does both.
When do people stall in a program?
Check-ins reporting all scheduled workouts completed, by program week
%
| Condition | Value |
|---|---|
| Weeks 1-2 (n=122) | 45.1 |
| Weeks 3-4 (n=98) | 51 |
| Weeks 5-8 (n=156) | 39.7 |
| Weeks 9+ (n=156) | 38.5 |
Four of the forms asked how many weeks the client had been in the program, so I could look at check-ins by week. Across the three that also asked about workouts, completion was 45.1% in weeks 1 to 2, peaked at 51.0% in weeks 3 to 4, dropped to 39.7% in weeks 5 to 8 and reached its low of 38.5% at week 9 and beyond.
In the two forms with enough data in every band, completion was 53.5% in weeks 1 to 4 against 43.0% from week 5 on.
Tracking fell harder. Pooled across the two tracking forms, it went from 53.3% in weeks 1 to 2 and 65.5% in weeks 3 to 4, down to 50.6% in weeks 5 to 8 and 32.9% at week 9 and beyond.
That dip matters more than it looks, because the later weeks are already flattered. People who quit stop sending forms, so the week 9 group is mostly the people who stayed. Even among the stayers, completion slipped.
It also fits what we know about habits. In Phillippa Lally's 2010 habit study, 96 volunteers set out to build a new daily habit and 82 finished the 84-day study. Reaching peak automaticity took 66 days on average, ranging from 18 days to a predicted 254. A single missed day had little impact on later gains.
Put those together and the first month is the honeymoon. Novelty carries you. Somewhere around week 5 the novelty runs out, and the habit is nowhere near automatic yet. That is the gap where people stall.
Why do money worries show up early in business coaching?
In the business coaching forms the challenges looked very different. Growing the business (clients, sales, content, offers) was named in 42% of answers, then planning and focus in 33%. Money and finances came up in 9%.
Money was not spread evenly, though. In the one business form that asked for a program week, money worries appeared in 22% of check-ins in weeks 1 to 2 and 26% in weeks 3 to 4, then 3% in weeks 5 to 8 and 9% at week 9 and beyond. Business growth followed a similar curve, from 72% in weeks 1 to 2 to between 21% and 27% from week 5 on.
These are small groups (19 to 45 check-ins per band), so I hold this loosely. My read is that people often join a business program when the pressure is highest. Once there is a plan and some motion, the fear about the bank balance drops, even before the numbers have caught up.
What does "no challenge" late in a program mean?
Only 3% of all check-ins said there was no challenge. In the lifestyle programs that share climbed from 1% in weeks 1 to 2 to 8% at week 9 and beyond, the one clearly reliable shift by program week in that data. The business form showed the same climb, from 0% to 11%, on small numbers.
It could be good news: the hard problems got solved. It could also be the quiet version of stalling, where someone has stopped looking for the next thing to work on. When I see "no challenge" from someone at week 10, I ask a follow-up question before I celebrate.
How this data was collected, and its limits
I want to be plain about what this data can and can't tell you.
- Self-report. Every number is what a client said about their own week. "Did you complete and log all your scheduled workouts this week?" is a judgment call, and the 1 to 10 ratings bunch near the top.
- Survivorship. People who drop out stop sending forms, so the later weeks over-represent the people who stayed.
- Repeat respondents. The same people answered many weeks in a row, so 1,378 check-ins are not 1,378 independent people. That makes results look more certain than they are. Individuals were deliberately not tracked.
- Keyword coding. The "biggest challenge" answers were sorted into 15 themes by a keyword dictionary, not by a person reading each one. One answer can count toward several themes (2.3 on average), so percentages add up to more than 100, and about 8% fit no theme. Compare themes by rank and large gaps, not by a point or two.
- Different forms. The seven forms ran in different programs and years, with different wording. Business and lifestyle groups are not a controlled comparison, and some measures exist in only two or three forms.
- Observational only. Nothing here shows that one behaviour causes another.
The responses run from 7 July 2017 to 1 April 2025. Names and contact details were never part of the analysis, and only aggregate figures were kept.
What I tell clients now
Plan for week 5 before you start. The first month will feel easy. Decide now what you'll do when it stops feeling easy, because the data says it will.
Track one small thing. You don't need an app or a spreadsheet. A daily tick on a checklist is enough. Even if tracking only travels with good weeks, the act of writing it down tells you early when a week is going sideways.
Treat "no time" as a scheduling question. If time is your answer, name the days you will train next week and put them in the calendar. The people who said "time" trained about as often as everyone else, so it is rarely the real wall. This is why my 2% Solution starts at 30 minutes a day: 15 minutes moving, 5 minutes still and 10 minutes reading or learning.
Name the real obstacle. Motivation, a fuzzy plan, self-talk and pain lined up with missed workouts far more than time did. Those are the things worth bringing to a coach.
If you run a business, expect the money fear early. It tends to be loudest in the first month. Get a plan in place and keep moving.
When nothing is wrong, look harder. "No challenge" late in a program deserves a second question.
If you want to run the same check-in on yourself, I've shared the weekly reflection questions I've used with clients since 2017. The bigger picture of how change sticks is on my lasting change page.
Next step
If you're a founder, owner or executive who starts strong and fades around week five, that is exactly the problem I work on. Private coaching is application only and deliberately small. Start with a free 20-minute call.
Common questions
Is lack of time the main reason people stall?
It is the reason people give most often. In 1,378 client check-ins, 28% of challenge answers mentioned time, but people who mentioned time completed their workouts at about the same rate (43.5%) as those who did not (40.2%).
Does tracking your habits help you stick to workouts?
In my client data, weeks with tracking went with far higher workout completion, for example 66.7% versus 20.7% in Life By Design. That is an association, not proof of cause. Experimental research does show that monitoring progress improves goal attainment, especially when it is recorded or reported.
When do most people fall off a program?
Workout completion peaked at 51.0% in weeks 3 to 4, then dropped to 39.7% in weeks 5 to 8 and 38.5% from week 9, even though the later weeks mostly include people who stayed.
How reliable is this data?
It is self-reported, observational and includes repeat respondents and survivorship bias, and challenges were coded by keyword. Treat it as a strong pattern from real coaching, not a controlled study.
What should I do around week five?
Plan for it before you start: name your training days for the coming week, keep one simple daily tracking habit, and bring the real obstacle (motivation, planning, self-talk or pain) to your coach.
Sources
- Dai Manuel client reflection data, 2017-2025, n=1,378 (aggregate)
- Harkin et al. (2016) Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin
- Lally et al. (2010) How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology
- British Psychological Society Research Digest: How to form a habit
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