We ran an A/B test in the product by showing a modal with a clear set of features during onboarding.
Hypothesis: This would inspire more confidence that we offer what they need — and pull up selecting and engaging with workspace settings earlier
Success metric: More engagement, either in product, with sales, or via chat with the same or incremental levels of onboarding completion
The ultimate goal is increased conversion, but that takes 2+ months to measure. This test looked at early signals of engagement.
Onboarding Drop-Off by Group
| Group |
Start Onboarding |
Finish Onboarding |
Drop-off Rate |
Difference |
| Control |
709 |
599 |
15.51% |
|
| Variant |
651 |
553 |
15.05% |
🟢 -3.0% |
Engagement by Group
-
20-30% of the variant group enabled a non default feature, with invoicing the most popular, followed by rules, distance and tags.
-
5% of the variant group disabled a default feature.
| Group |
Engaged Users |
Total Users |
Proportion |
| Variant |
305 |
516 |
59.1%. |
| Control |
288 |
602 |
47.8%. |
✅ The difference in proportions is statistically significant at the 99.95% confidence level (p = 0.0005), suggesting that contacts in the Variant group were significantly more likely to have associated deals.
We also had statistical significance on Corporate Upgrades
Corporate Upgrade Rate by Group
| Group |
# with Upgrade |
Total Contacts |
Proportion |
| Variant |
119 |
516 |
23.1% |
| Control |
33 |
602 |
5.5% |
✅ The difference in upgrade rates is statistically significant at the 99.9999% confidence level (p < 0.000001), indicating a very strong effect of the variant on corporate upgrade behavior.
While the billing card added data is not yet statistically significant, it is slightly lower on variant.
That said, we don't think this should be a blocker because:
(a) that's not what this test directly looked to address
(b) there's no argument that increased engagement causes lower conversion, and therefore we should aim for less engagement
For transparency here is the data so far:
Add Billing Card Rate by Group
| Group |
# with Billing Card |
Total Contacts |
Proportion |
| Variant |
39 |
516 |
7.6% |
| Control |
51 |
602 |
8.5% |
❌ The difference is not statistically significant (confidence level: 73.6%). That means this slight edge for Control could easily be due to chance.
Overall conclusion: There is no incremental drop off at this step, there is incremental engagement in the variant, and having access to better data around a user's preferences on features is accretive as we fine tune our email campaigns to them based on this. So let's 🟢
Issue Owner
Current Issue Owner: @dylanexpensify
We ran an A/B test in the product by showing a modal with a clear set of features during onboarding.
Hypothesis: This would inspire more confidence that we offer what they need — and pull up selecting and engaging with workspace settings earlier
Success metric: More engagement, either in product, with sales, or via chat with the same or incremental levels of onboarding completion
The ultimate goal is increased conversion, but that takes 2+ months to measure. This test looked at early signals of engagement.
Onboarding Drop-Off by Group
Engagement by Group
20-30% of the variant group enabled a non default feature, with invoicing the most popular, followed by rules, distance and tags.
5% of the variant group disabled a default feature.
✅ The difference in proportions is statistically significant at the 99.95% confidence level (p = 0.0005), suggesting that contacts in the Variant group were significantly more likely to have associated deals.
We also had statistical significance on Corporate Upgrades
Corporate Upgrade Rate by Group
✅ The difference in upgrade rates is statistically significant at the 99.9999% confidence level (p < 0.000001), indicating a very strong effect of the variant on corporate upgrade behavior.
While the billing card added data is not yet statistically significant, it is slightly lower on variant.
That said, we don't think this should be a blocker because:
(a) that's not what this test directly looked to address
(b) there's no argument that increased engagement causes lower conversion, and therefore we should aim for less engagement
For transparency here is the data so far:
Add Billing Card Rate by Group
❌ The difference is not statistically significant (confidence level: 73.6%). That means this slight edge for Control could easily be due to chance.
Overall conclusion: There is no incremental drop off at this step, there is incremental engagement in the variant, and having access to better data around a user's preferences on features is accretive as we fine tune our email campaigns to them based on this. So let's 🟢
Issue Owner
Current Issue Owner: @dylanexpensify