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Sender H€ Opt-In Rate When Covenant Aborts

Status: Not Started
Priority: Medium
Last Updated: 2026-06-18
Contributors Welcome: Yes


What We Don’t Know

When covenant aborts (BCH drops >7%), what % of senders will accept H€ tokens vs preferring BCH?

Scenario:

Will she choose H€ or BCH?


Why It Matters

Opt-in rate determines abort scenario UX and pool capital allocation.

If 90% choose H€:

If 50/50 split:

If 90% choose BCH:

Wrong estimate = Either waste pool capital OR frustrated users.


Current Hypothesis

70% of senders will choose H€ when offered, 30% will take BCH.

Reasoning:

Why choose H€:

Why choose BCH:

Spanish sender context:

Hypothesis: Non-crypto-native users strongly prefer H€.


Investigation Method

Step 1: Survey Spanish Sender Personas

Scenario-based questions:

“You sent €100 to your family in Venezuela. Bitcoin Cash crashed 8% before they received it. You’re now offered:

Option A: Receive 100 H€ tokens (stable €100 value, can still send to family)
Option B: Receive BCH (worth ~€92 now, might recover or drop further)

Which do you choose?”

Follow-up:

Deliverable: Survey responses from 10-20 Spanish remittance senders

Step 2: A/B Test UX Framing

Test A: Default to H€

“Covenant aborted due to volatility. We’ve protected your €100 value by converting to H€ tokens. You can still send to Elena.
[Advanced: I prefer BCH instead]”

Test B: Equal presentation

“Covenant aborted. Choose how to receive your funds:
[ ] H€ tokens (stable €100)
[ ] BCH (current value ~€92, volatile)”

Test C: Default to BCH

“Covenant aborted. You’ll receive BCH (currently ~€92 value).
[Protect value: Convert to H€ tokens instead]”

Hypothesis: Default matters. Test A → 90% H€. Test B → 70% H€. Test C → 40% H€.

Deliverable: Mockups and predicted opt-in rates per UX design

Step 3: Analyze User Psychology

Research:

Deliverable: Behavioral psychology analysis of opt-in drivers

Step 4: Model Capital Requirements

Scenario modeling:

If 10 covenant aborts per week (from 7% drop frequency unknown):

70% opt-in (7 aborts) × €100 = €700 H€ minted for senders
30% BCH (3 aborts) × €92 BCH = €276 BCH delivered

Pool capital needed for sender aborts: €700

Sensitivity:

Deliverable: Capital allocation table based on opt-in rate scenarios

Step 5: Test Actual Behavior in Phase 0

Phase 0 measurement:

Iterate UX based on data:

Deliverable: Real usage data from Phase 0 trials


Success Criterion

This unknown is answered when:

  1. We have data:
    • Survey responses from target users
    • UX testing on different default presentations
    • Behavioral psychology analysis
  2. We can estimate:
    • “X% of senders will choose H€ when covenant aborts”
    • “Reasoning: [loss aversion, trust, UX framing]”
    • “Pool capital needed: €Y for sender aborts”
  3. We design UX accordingly:
    • Choose default (H€ or BCH or neutral)
    • Allocate pool capital (sender vs merchant split)
    • Plan for Phase 0 measurement

Answered = “X% choose H€ because [reasons], here’s our UX design and capital allocation.”


Contributor Guidance

Skills needed:

Estimated effort: 3-5 hours (research + survey), 2 hours (mockups)

How to start:

  1. Create simple survey with scenario questions
  2. Share in Spanish remittance communities (Facebook groups, forums)
  3. Analyze responses for opt-in patterns
  4. Document findings in GitHub issue or email rufitnes@proton.me

Quick contribution: Even informal interviews help! Ask 3-5 friends who might send remittances what they’d choose.



Edge Cases

What if user doesn’t respond in time?

What if pool exhausted when abort happens?

What if user later regrets choice?

These edge cases inform UX design.

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