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Engineering Decision Latency (Quan's Domain)

Executive Summary

Issues tracked: 87
Issues executed: 81 (93.1%)
Average total latency: 26.4 days
Median total latency: 20.0 days
Trend: improving

Key Performance Indicators

Problem → Decision: 11.4 days (average)
Decision → Execution: 15.0 days (average)
Stalled decisions: 6 issues decided but not yet executed

By Sub-Domain

Hardware (61 issues)

Primary focus: Battery design, V3 development, charging systems, device reliability

Average latency: 23.0 days
Median latency: 15.0 days
Problem → Decision: 13.8 days
Decision → Execution: 9.2 days
Execution rate: 93.4%

Top recurring issues:

battery/charging: 36x
version migration: 14x
connectivity: 1x
customer support: 1x
firmware/updates: 1x

Firmware (26 issues)

Primary focus: OTA updates, bug fixes, stability, feature implementation

Average latency: 34.5 days
Median latency: 26.0 days
Problem → Decision: 5.9 days
Decision → Execution: 28.6 days
Execution rate: 92.3%

Top recurring issues:

firmware/updates: 21x
customer support: 2x
battery/charging: 2x
connectivity: 1x
training: 1x

Temporal Trend

Evolution of decision latency over time:

2024: 53.4 days average
2025: 24.0 days average
2026: 18.0 days average

Analysis:
Decision velocity is improving over time. Recent engineering decisions are being executed faster, indicating better processes and/or reduced technical debt.

Recurring Issues

Issues that appear most frequently in engineering domain:

battery/charging: 38x occurrences
firmware/updates: 22x occurrences
version migration: 14x occurrences
customer support: 3x occurrences
connectivity: 2x occurrences
training: 2x occurrences

Stalled Decisions

Issues where a decision was made but execution has not yet occurred (6 total):

ISSUE-0058

Days since decision: 21
Context: Malachi Burke: I want to see the battery and Wi-Fi signal level so that I can notify operator, the o...

ISSUE-0059

Days since decision: 21
Context: Faisal: want to see the battery and Wi-Fi signals levels so that I can notify operator in case of pr...

ISSUE-0060

Days since decision: 1
Context: Jess Main: I feel like our old ones ones-
Jess Main: It might have just been battery problems, but s...

ISSUE-0061

Days since decision: 1
Context: Jess Main: Most of them will be related to battery problems and overheat problems....

ISSUE-0086

Days since decision: 1
Context: Quan Gan: The OTA route online, so he had them log in, but then we have the server issue, so he wasn...

Recommendations

1. Hardware Sub-Domain

Battery/charging issues dominate with 36 occurrences
Action: Accelerate V3 rollout to address persistent battery safety concerns
Action: Establish pre-emptive battery swap protocol for at-risk units
Action: Document battery handling SOPs to reduce user-induced failures

2. Firmware Sub-Domain

OTA update reliability is a recurring pain point with 21 issues
Action: Implement offline firmware update capability (already in progress)
Action: Improve OTA failure diagnostics and user feedback
Action: Create regression test suite to prevent update-induced bugs

3. Decision Velocity

Average problem-to-decision time: 11.4 days
Average decision-to-execution time: 15.0 days
Action: For recurring issue types (battery, firmware), create pre-approved decision playbooks to reduce problem→decision latency
Action: For execution delays >30 days, implement mid-cycle check-ins to unblock engineering resources

4. Cross-Functional Dependencies

Many engineering issues require Operations support for customer communication, training, or logistics
Action: Establish clear handoff protocol when engineering decisions require ops execution (e.g., V3 swaps)
Action: Include Operations in early decision discussions for customer-impacting changes

5. V3 Migration Strategy

V3 appears in 14 issues across hardware/firmware
Action: Treat V3 rollout as top engineering priority to eliminate legacy hardware issues
Action: Track V3 adoption rate and correlate with issue reduction metrics