Let the system work.
Let users keep moving.
A system-driven redesign that automates manual reviews, giving users immediate outcomes while reducing operational effort for internal teams.
CreatorSamples
is a platform that connects TikTok creators with product samples
🚨
problem
🚨
problem
🚨
problem
Manual reviews caused creator drop-offs and created an unsustainable workload for admins
Previous Process
To request free samples, creators first needed to qualify for Creator+.
This eligibility review happened after creators tapped “Get now,” requiring them to wait for an admin decision before moving forward.
Manual reviews became a bottleneck
The free sample request flow relied on manual admin reviews, causing delays, unclear feedback, and poor scalability.
Creator pain points
Long approval delays after tapping “Get now”
No visibility into eligibility status or next steps
Drop-offs while waiting with no clear outcome
Admin pain points
High manual review workload
Bottlenecks as creator volume increased
Limited ability to scale efficiently
❇️
solution
❇️
solution
❇️
solution
A redesigned request flow with automated eligibility checks that keeps creators moving while minimizing admin workload
Once eligibility checks were automated, the next question became:
Where should eligibility checks happen in the user journey?
A. Check eligibility immediately after 'Get now' (qualification first)
: optimizes for speed and low user effort
✅ Fast and low-effort for creators
✅ Prevents unnecessary actions for unqualified users
🚨 Cuts off engagement too early
🚨 Misses signals of creator intent and readiness
B. Check eligibility after the showcase step (showcase first)
: optimizes for engagement and behavioral signals
✅ Preserves engagement and reduces overall drop-offs
✅ Collects behavioral signals for better decision-making
🚨 Adds effort for some unqualified users
🚨 Risk of frustration if rejection isn’t clearly explained
Let creators act before eligibility checks
Here’s why:
Encouraged early action through user commitment (Commitment Bias)
Made user effort feel valuable by front-loading showcase interaction (Effort Justification)
Reduced the perceived risk of failure by adding an “Apply Anyways” fallback for unqualified users (Loss Aversion)
Eligibility checks that don’t stop progress
Required users to add to showcase before checking eligibility
Used real-time logic for automatic Creator+ qualification
Offered fallback path for those who didn’t meet the criteria
→ More engagement, less admin load, and a fairer flow for everyone.
Eligibility decision
Pass case: all eligibility criteria met
→ Request free sample
Pass case: all eligibility criteria met
→ Request free sample
Pass case: all eligibility criteria met
→ Request free sample
Fail case: one or more criteria not met
→ Apply manually
Fail case: one or more criteria not met
→ Apply manually
Fail case: one or more criteria not met
→ Apply manually
outcome & impact
A system-driven eligibility flow reduced creator drop-offs and internal workload
+20%
Completion rate
More creators completed the request flow end-to-end, reducing mid-flow drop-offs caused by waiting
78%
Eligibility checks automated
Most eligibility decisions were handled by system logic, significantly reducing the need for manual admin review