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This repository has been archived by the owner on Dec 4, 2024. It is now read-only.
Between creating a Safe (82%), the tx being minded (56%), loading the Safe (46%) and opening the loaded Safe (39%) we have a drop-off rate of 43%. While there is one important data point missing, that is the tx actually being signed by the connected wallet, it is already very much worth exploring the reasons for the behavior we can observe. Especially the drop-off rate between the transaction being mined and the loaded Safe being opened should tend towards 0%. Drop-off rates between chains vary but are significant for all relevant chains.
What is your hypothesis?
If we can identify reasons for the drop-off rate between these steps in the onboarding flow and find potential solutions, then the trust and emotions connected with the Safe (web application) in the first interactions will drastically improve, making it far more likely that the user will use the Safe out of real product interest/enjoyement and not only necessity.
What value does this bring to our customer and/or our mission? What is the goal?
Generating trust
Moving the Safe from a product being used out of necessity and security to a product that is also loved and trusted
Saving user funds being lost in failed transactions
Improving the drop-off rate after the transaction has been submitted
At this stage the user has taken the decision to actually create the Safe and pay the associated transaction fee. We therefore suggest taking a series of design and technical measures to bring the drop-off rate down and as close to 0 as feasible.
Measures include:
further improve analytics around Safe creation e.g. adding extra funnel events such as transaction submission through the wallet provider, transaction fails and retries
remove unnecessary steps and improve progress bar
remove Back button and replace with refresh button after transaction submission
solve retry issues when Safe is already created
full list can be found in the Working document
Solution 2
Improving conversion rate before the transaction has been submitted
reduce the information load and introduce reactive
remove and possibly relocate steps such as naming of Safes to after the Safe has been created and loaded
conduct user tests with prototypes and use A/B testing
full list can be found in the Working document
Solution 3
Pre-defined user type creation flows e.g. individual and organization onboarding
Research user type flows
create and test prototypes
Alternative solutions & ideas
Open Questions
The text was updated successfully, but these errors were encountered:
Part 1: Define the problem
What problem are you trying to solve?
Between creating a Safe (82%), the tx being minded (56%), loading the Safe (46%) and opening the loaded Safe (39%) we have a drop-off rate of 43%. While there is one important data point missing, that is the tx actually being signed by the connected wallet, it is already very much worth exploring the reasons for the behavior we can observe. Especially the drop-off rate between the transaction being mined and the loaded Safe being opened should tend towards 0%. Drop-off rates between chains vary but are significant for all relevant chains.
What is your hypothesis?
If we can identify reasons for the drop-off rate between these steps in the onboarding flow and find potential solutions, then the trust and emotions connected with the Safe (web application) in the first interactions will drastically improve, making it far more likely that the user will use the Safe out of real product interest/enjoyement and not only necessity.
What value does this bring to our customer and/or our mission? What is the goal?
Generating trust
Moving the Safe from a product being used out of necessity and security to a product that is also loved and trusted
Saving user funds being lost in failed transactions
How do we measure it?
https://analytics.google.com/analytics/web/#/analysis/p308247657/edit/557AG-gqTwGrCzUq0hj4Ug
Links:
Working document see https://www.notion.so/gnosis-safe/Safe-Creation-7ec069306e8c4101bffd7c17299eec53
Part 2: Shaping the problem
Problem Owner
@usame-algan
Solution
Solution 1
Overview
Improving the drop-off rate after the transaction has been submitted
At this stage the user has taken the decision to actually create the Safe and pay the associated transaction fee. We therefore suggest taking a series of design and technical measures to bring the drop-off rate down and as close to 0 as feasible.
Measures include:
Solution 2
Improving conversion rate before the transaction has been submitted
Solution 3
Pre-defined user type creation flows e.g. individual and organization onboarding
Alternative solutions & ideas
Open Questions
The text was updated successfully, but these errors were encountered: