

Context
15 weeks
Individual
End to end decision flow
Design Question
Research Insights
3 User Interviews and flow test of existing investment platforms

Existing investment flows often compress exploration, evaluation, and commitment into one moment.
Easel separates them into distinct stages.
Iteration Proof
I separated one overloaded investment screen into four distinct stages: Explore, Setup, Review, and Authorize.
SYstem Response
>Commitment is removed from discovery.
>Risk interpretation happens before authorization.
>Execution is treated as a state transition, not a tap.


Execution Recorded
Authorization transitions the asset from intent to ownership.
Tradeoffs Considered
Where should friction happen?
(A) Add friction during browsing/artwork exploration
(B) Add friction only at the commitment boundary
Chosen direction
Friction at moments of risk, not attraction
Why not the alternative
Early friction reduced exploration quality and made the product feel prematurely transactional.
How should constraints be presented?
(A) Present risk/ownership terms as dense disclosure text
(B) Convert key constraints into a scannable review state
Chosen direction
Authorization is a distinct irreversible state
Why not the alternative
Allowing edits during confirmation blurred the boundary between setup and commitment.
Where should friction happen?
(A) Add friction during browsing/artwork exploration
(B) Add friction only at the commitment boundary
Chosen direction
Friction at moments of risk, not attraction
Why not the alternative
Early friction reduced exploration quality and made the product feel prematurely transactional.
SySTem COntinuity
Commitment persists as a system state across authorization, receipt/history, and portfolio state.


Post-Execution State
Following authorization, the position remains recorded and reflected over time.
Cross-Platform Navigation
Core navigation remains persistent across discovery, portfolio state, and market context without disrupting active decisions.

Digital Shouldn’t Always Mean Instant
Easel explores how to design systems
that slow users down when commitment is permanent.










