Claim Timing — How Fast Do Recipients Claim Remittances?
Status: Not Started
Priority: Critical
Last Updated: 2026-05-20
Contributors Welcome: Yes — see below
What We Don’t Know
How quickly do remittance recipients claim their funds after being notified?
We have no empirical data on:
- Median time from notification to merchant visit
- Distribution of claim times (percentiles: 10th, 50th, 90th, 99th)
- Factors that influence speed (urgency, distance, merchant hours, notification method)
- Difference between first-time vs. repeat users
- Geographic/cultural variations (Spain→Venezuela vs. other corridors)
Current design assumes: Recipients will claim within 24 hours (covenant expiry window).
Reality unknown: Do recipients claim in 30 minutes? 3 hours? 18 hours? Is the distribution bimodal (urgent vs. casual)?
Why It Matters
1. Time-Based Settlement Incentive Design
- If recipients typically claim within 2 hours → 2h/6h/12h/24h windows make sense
- If recipients typically claim within 12-18 hours → Need different brackets
- If claim times are bimodal (30min or 20h, nothing in between) → Need different incentive structure
Without data, we’re designing blind.
2. Volatility Exposure Window
Sender volatility risk scales with claim time:
- 2h median claim time → Low volatility exposure (BCH rarely moves >3% in 2h)
- 18h median claim time → High volatility exposure (BCH often moves >7% in 18h)
If recipients naturally claim fast, volatility is less of a problem than we think.
If they claim slow, we need stronger incentives or shorter expiry windows.
3. Capital Efficiency (Seller Economics)
Seller effective APR depends on capital turnover:
- 2h average lockup → ~2,336% APR (0.4% per 2h)
- 18h average lockup → ~365% APR (0.75% per 18h)
Slow claims kill seller economics. Fast claims make the model viable.
4. Covenant Parameter Validation
The 24h expiry window is arbitrary:
- If 99th percentile claim time is 6h → 24h window is wasteful (capital locked unnecessarily)
- If 90th percentile claim time is 20h → 24h window is too short (too many timeouts)
Data tells us whether current parameters are reasonable or need adjustment.
Current Hypothesis
Educated guess (no data):
- Median claim time: 3-6 hours
- 90th percentile: 12-18 hours
- 99th percentile: 22-24 hours
Reasoning:
- Remittances are often urgent (family needs money for food, medicine, bills)
- Recipients are notified via SMS/WhatsApp (high engagement)
- Merchants are local (low travel friction)
- BUT: Recipients have jobs, school, obligations (can’t always drop everything)
This is pure speculation. We need data.
Investigation Method
Option 1: Survey (Low Cost, Moderate Reliability)
Who to survey:
- Venezuelan diaspora communities in Spain (r/vzla, Telegram groups)
- Venezuelan recipient communities (WhatsApp groups, local community centers)
- Remittance users on other platforms (ask about past behavior)
Questions:
- “When you send money to family in Venezuela, how quickly do they usually pick it up?”
- Within 1 hour
- 1-3 hours
- 3-6 hours
- 6-12 hours
- 12-24 hours
- More than 24 hours
- “What factors affect how quickly they claim it?”
- Distance to pickup location
- Merchant operating hours
- Urgency of need
- Work/school schedule
- Trust in the system
- “If they could get a small bonus (€0.30) for claiming within 2 hours, would that change their behavior?”
- Yes, would prioritize fast claim
- Maybe, depends on situation
- No, other factors more important
Sample size needed: 50-100 responses for directional signal
Tools:
- Google Forms (free)
- Posted in relevant communities with context (Asgaya Phase 0 research)
- Incentive: Small BCH tip for completing survey (0.001 BCH = ~€0.30)
Estimated effort: 4-8 hours (survey design, posting, analysis)
Reliability: Moderate (self-reported behavior ≠ actual behavior, but better than nothing)
Option 2: Existing Remittance Data (High Reliability, Hard to Obtain)
Potential data sources:
- Western Union / MoneyGram (unlikely to share)
- LocalBitcoins / Paxful (crypto P2P, might have public data)
- Smaller remittance platforms (might be willing to share anonymized data)
- Academic studies on remittance behavior
What to look for:
- Time from notification to pickup (if tracked)
- Distribution of claim times
- Factors correlated with speed
Estimated effort: 10-20 hours (research, outreach, negotiation)
Reliability: High (actual behavior, not self-reported)
Option 3: Phase 0 Trial Measurement (Highest Reliability, Delayed)
During Phase 0 trials, track:
- Covenant creation timestamp
- Recipient claim timestamp
- Difference = actual claim time
Measure:
- Median, 90th, 99th percentile claim times
- Distribution shape (unimodal? bimodal? uniform?)
- Correlation with transaction amount, time of day, day of week
Advantages:
- Real-world data from actual Asgaya usage
- No survey bias
Disadvantages:
- Can’t inform pre-Phase-0 design decisions
- Small sample size initially (10-30 transactions)
Estimated effort: Built into Phase 0 infrastructure (logging)
Reliability: Highest (actual protocol usage)
Success Criterion
This unknown is “answered” when we have:
- Median claim time (50th percentile) with 80% confidence interval
- 90th percentile claim time (defines timeout threshold)
- Distribution shape (unimodal? bimodal? skewed?)
- Sensitivity to incentives (will time bonuses work?)
Minimum viable answer (for Phase 0 launch):
- Survey data from 50+ respondents showing directional signal
- OR existing remittance data from comparable platform
- OR qualitative interviews with 10+ Venezuelan recipients
Gold standard answer (for Phase 1 refinement):
- Actual Phase 0 trial data from 30+ transactions
- Validated against survey predictions
Phase 0 Trial Integration
Logging Requirements
Covenant metadata to track:
{
"covenant_id": "...",
"created_at": "2026-06-15T14:30:00Z",
"claimed_at": "2026-06-15T16:45:00Z",
"claim_duration_minutes": 135,
"settlement_window": "6h",
"time_bonus_earned": 0.002
}
Metrics Dashboard
Real-time Phase 0 metrics:
- Average claim time (rolling 7-day window)
- Claim time distribution histogram
- % claimed within each time bracket (2h/6h/12h/24h)
- Time bonus redemption rate
Iteration triggers:
- If median claim time < 2h consistently → Consider 1h express option
- If 90th percentile > 20h → Consider longer expiry or stronger incentives
- If time bonuses not redeemed → Increase bonus amounts
Contributor Guidance
Skills Needed
- Survey design (basic questionnaire skills)
- Spanish fluency (for Venezuelan community outreach)
- Data analysis (basic statistics, percentiles, distributions)
- Community access (Venezuelan diaspora networks helpful but not required)
Estimated Effort
- Survey approach: 4-8 hours (design, post, analyze)
- Data research approach: 10-20 hours (research, outreach)
- Literature review approach: 5-10 hours (search academic studies)
How to Start
Step 1: Choose investigation method (survey recommended for speed)
Step 2: If surveying:
- Draft survey questions (use template above)
- Post in relevant communities:
- r/vzla (Venezuelan subreddit)
- Spanish expat Telegram groups
- Venezuelan community Facebook groups
- Offer small BCH incentive for completion (0.001 BCH)
- Collect responses for 1-2 weeks
Step 3: Analyze results:
- Calculate median, 90th, 99th percentile claim times
- Plot distribution histogram
- Identify factors affecting speed
- Note sensitivity to time bonuses
Step 4: Document findings:
- Update this file with “Status: Answered”
- Add “Findings” section with data
- Submit findings via GitHub PR or email to rufitnes@proton.me
Open Questions
- Does urgency correlate with amount?
- Are €50 remittances claimed faster than €200 remittances?
- Or opposite (larger amounts = more urgent need)?
- Does time of day matter?
- Morning remittances claimed faster (recipient has full day)?
- Evening remittances delayed (merchant hours, recipient obligations)?
- First-time vs. repeat behavior:
- Do first-time users claim slower (unfamiliar process)?
- Do repeat users claim faster (trust established)?
- Cultural/geographic factors:
- Does Spain→Venezuela differ from other corridors?
- Urban vs. rural recipient differences?
Status Updates
2026-05-20: Investigation brief created, no data yet.
Want to investigate this unknown? Follow the contributor guidance above and share your findings. No approval needed—permissionless contribution in action.
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