The Story That Keeps Repeating Itself
Your challenge is over.
87 people completed it out of 127 who started.
You feel good.
โ68% completion rate โ not bad!โ
But then you ask yourself:
Why did 40 people drop out?
On which day did most people stop showing up?
Which content worked best?
How can I improve this for next time?
And you have no answers.
You did not analyze the data.
You did not ask your participants.
Result?
Challenge #2 will look exactly like Challenge #1 โ
same problems, same weak points, same mistakes.
Smart creators?
They run a deep debrief after every single challenge.
They learn from the data.
They understand what worked and what did not.
And their next challenge?
โ2x better.
In this chapter you will learn:
How to collect data during your challenge
How to analyze that data after the challenge
How to run a debrief with your participants
How to identify weak points and drop off points
How to improve your next challenge based on real learning
How to turn every challenge into a continuous improvement engine
๐ Collecting Data During The Challenge โ What Should You Measure?
Golden rule:
You cannot improve what you do not measure.
CommuniPass already shows you who opened the content each day.
Your job is to take that data and organize it โ for example, in an Excel or Google Sheet.
1. Daily Open Rate โ Who Actually Opens The Content?
Export or write down how many people opened each dayโs content.
Example table:
Day | Opened | Did Not Open | Open Rate |
1 | 125 | 2 | 98% |
2 | 118 | 9 | 93% |
3 | 110 | 17 | 87% |
7 | 95 | 32 | 75% |
14 | 78 | 49 | 61% |
21 | 68 | 59 | 54% |
What this tells you:
Days 1โ3: almost everyone opens โ strong start โ
Day 7: drop to 75% โ turning point โ ๏ธ
Days 14โ21: continued decline โ a large group dropped off โ
Conclusions:
You need to strengthen days 7โ10 โ these are critical days.
Maybe the challenge is too long? You might consider shortening it (for example from 21 to 14 days).
2. Group Engagement Rate โ Who Actually Participates?
What this is:
How many people actually share their tasks or post in the group.
How to collect it:
Each day, count how many posts/shares were made in the group.
Look at who shares a lot and who never shares.
Example:
Day | Shares In Group | % Of Participants |
1 | 85 | 67% |
2 | 72 | 57% |
3 | 65 | 51% |
7 | 45 | 35% |
14 | 28 | 22% |
21 | 15 | 12% |
What this tells you:
Day 1 โ very high engagement
By day 7 โ down to 35%
By day 21 โ only 12% of people are sharing
Conclusions:
The group โdiesโ in the middle โ you need to encourage more sharing.
Maybe the tasks are not interesting enough to share?
Maybe you should give incentives for sharing (prizes, shoutouts etc.).
3. Responses To Follow-Up Questions
What this is:
If you added follow-up questions at the end of each day, you can see who responded.
Example questions:
โDid you complete todayโs task? Yes / Noโ
โWhat was your biggest difficulty today?โ
โWhat did you learn today?โ
Example table:
Day | Answered The Question | % Of Those Who Opened |
1 | 95 | 76% |
3 | 78 | 71% |
7 | 52 | 55% |
14 | 31 | 40% |
What this tells you:
Day 1 โ people are very engaged (76% answer).
Day 14 โ only 40% answer โ engagement clearly dropped.
Conclusions:
You may want to make the questions more interesting.
You may want to give a small incentive for people who answer every day.
5. Drop-Off Points โ When Do People Leave?
What this is:
On which day did most people stop opening content?
How to identify it:
Look at your โdaily open rateโ table.
Find the day with the sharpest drop compared to the previous day.
Example:
Day | Opened | Change From Previous Day |
1 | 127 | โ |
2 | 122 | -5 |
3 | 115 | -7 |
4 | 108 | -7 |
5 | 101 | -7 |
6 | 95 | -6 |
7 | 82 | -13 โ ๏ธ |
8 | 78 | -4 |
What this tells you:
Day 7 is the sharpest drop: -13 people in one day.
Something happened around day 6โ7.
Conclusions:
Check what content and task you had on days 6โ7.
Maybe the task was too hard?
Maybe the content was boring?
Maybe this was the weekend and people were busy?
Action for next challenge:
Strengthen days 6โ7 with especially engaging content.
Summary โ What Should You Measure During The Challenge?
โ
Daily open rate
โ
Group engagement
โ
View / read time (where relevant)
โ
Responses to follow-up questions
โ
Drop-off points
These numbers show you what happened.
In the next part, you will see how to understand why it happened.
๐ฃ๏ธ Debrief With Participants โ How To Get Real Feedback
The data tells you what happened.
Only your participants can tell you why it happened.
When Should You Run A Debrief?
You have two main options:
During the challenge
Send a short survey:
โHow is it going so far?โ
After the challenge
Send a more complete survey:
โWhat did you think about the challenge?โ
Recommended: do both.
During the challenge โ you can fix things in real time.
After the challenge โ you can improve the next round.
Whatโs Next?
There is no โnext chapterโ.
Now it is time to:
Plan
Build
Launch your first challenge
Or your next one โ but this time, with real debriefing and improvement.
Good luck. ๐ฅ