Round 2

Launch Risk Posture

A fictional online learning cooperative plans to release a new file-sharing feature for course participants. The feature is expected to improve participation, but it introduces operational, privacy, reliability, and reputational risks. The cooperative has a fixed ten-week launch window, a small technical team, a moderate one-time risk-control budget, and no plans to handle highly sensitive personal information. The decision should balance learning quickly, protecting users, preserving trust, and avoiding controls that are disproportionate to the feature’s value.

Status

DECIDED Humans: 0

Machine consensus

E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand.

Final

E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand.

Human vote

No human ballots

Topic

Options

Join to vote

Voting is available while the round is open or extended.

E Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand.
2.00 of 3 PPV winner
A Proceed with the full launch on schedule after implementing baseline access controls, automated monitoring, rollback procedures, and a clear incident-response plan.
0.00 of 3
B Delay the launch until an independent reviewer completes a focused assessment of privacy, reliability, and abuse risks, then address the highest-priority findings.
0.00 of 3
C Release only the simplest version of the feature, excluding integrations and advanced sharing capabilities, while reserving the remaining budget for reliability improvements and user support.
0.00 of 3
D Use a managed third-party file service with established security and availability controls, accepting less customization and greater dependence on an external provider.
0.00 of 3

Close reveal

Machine → Final

same outcome

No human ballots were cast; final consensus follows the machine result.

Same outcome E

Who governs

Origin Split

All rounds
Human 0%
Machine 100%
Turnout0
Back delegation0

Checks

Baselines

PPV no gold answer
Majority no gold answer
Comparison PPV matched majority
k samples8
Agents3
Parsed samples 16 / 16
Quality unanimous

PPV

Top Influences

GPT 5.6 Luna (alpha 1.000) · delegate 1.000
Claude Sonnet 5 (alpha 1.000) · delegate 1.000

Samples

Answer Distribution

GPT 5.6 Luna E: 8
Claude Sonnet 5 E: 8

PPV

Influences

Label Role Score
GPT 5.6 Luna (alpha 1.000) delegate 1.000
Claude Sonnet 5 (alpha 1.000) delegate 1.000

Voting matrix

Constructed Delegation Matrix

To / From GPT 5.6 Luna (alpha 1.000) Claude Sonnet 5 (alpha 1.000)
GPT 5.6 Luna (alpha 1.000) 0.0000.000
Claude Sonnet 5 (alpha 1.000) 0.0000.000
A 0.0000.000
B 0.0000.000
C 0.0000.000
D 0.0000.000
E 1.0001.000

Embeddings

Sample Embeddings

0 samples
No sample embeddings are available.

Samples

Agent Responses

GPT 5.6 Luna openai_compatible · openai/gpt-5.6-luna
#0 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot provides real-world learning while containing privacy, reliability, abuse, and reputational risks. Restricting file types and retention reduces exposure, and pilot results can guide a safer broader launch within the fixed window. The a...

#1 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot reduces exposure while allowing the cooperative to learn about operational, privacy, reliability, and abuse risks before broad release. Restricting file types and storage duration keeps controls proportionate, and pilot results can guid...

#2 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot allows the cooperative to learn about operational, privacy, reliability, and abuse risks before exposing the full participant base. Restricting file types and storage duration keeps potential harm manageable while generating evidence fo...

#3 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot provides real-world learning while containing operational, privacy, reliability, and reputational risks. Restricting participants, file types, and storage duration makes the launch reversible and proportionate to the feature’s expected ...

#4 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot reduces exposure while allowing the cooperative to learn about privacy, reliability, abuse, and user behavior before a broad release. Restricting file types and storage duration provides proportionate safeguards within the limited budge...

#5 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A limited pilot reduces exposure while allowing the cooperative to learn about reliability, abuse, privacy, and user behavior before broad release. Restricting file types and retention limits risk, and pilot findings can guide a proportionate full launch withi...

#6 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A limited pilot best balances rapid learning with protection against operational, privacy, reliability, and reputational risks. Restricting participants, file types, and retention limits exposure while generating evidence before a broader launch, which fits th...

#7 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot reduces exposure while allowing the cooperative to learn about reliability, privacy, abuse, and user behavior before scaling. Restricting file types and storage duration further limits operational and reputational risk within the fixed ...

Claude Sonnet 5 openai_compatible · anthropic/claude-sonnet-5
#0 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A tightly limited pilot best balances the need to learn quickly with protecting users, since it allows real-world testing within the fixed ten-week window without exposing the full user base to risk. It also avoids the cost and delay of a full independent revi...

#1 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A phased pilot lets the team learn quickly from real usage while capping exposure (limited cohort, restricted file types/duration), fitting the tight ten-week window and small team. It avoids the delay and overhead of a full independent review (B) or expensive...

#2 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

The scenario emphasizes fast learning, proportional risk controls, limited budget, and non-sensitive data—conditions favoring an approach that gathers real-world evidence before committing fully. A limited pilot with constrained scope allows the team to observ...

#3 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A phased pilot approach directly addresses the need to "learn quickly" while limiting exposure, fitting the fixed ten-week window and moderate budget without over-investing in disproportionate controls upfront. It also allows real-world data to inform whether ...

#4 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

The pilot approach directly matches the constraints: fixed ten-week window, small team, moderate budget, and non-sensitive data. It allows the cooperative to learn quickly while limiting exposure, since a small invited cohort with restricted file types and dur...

#5 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A limited pilot directly supports the goal of learning quickly while controlling risk: it caps exposure (small cohort, restricted file types/duration) without requiring costly full-scale controls or delaying indefinitely. It fits the fixed ten-week window and ...

#6 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

A phased pilot approach directly addresses the need to "learn quickly" while still "protecting users" and "preserving trust," since it limits exposure (small cohort, restricted file types/duration) without imposing disproportionate controls like a full indepen...

#7 E · Run a tightly limited pilot with a small invited cohort, restrict file types and storage duration, and use pilot results to decide whether to expand. 1536 dims

Given the fixed ten-week window, small team, moderate budget, and non-sensitive data, a full independent review (B) would consume too much time and budget disproportionate to the risk level, while a full launch (A) skips validation. A tightly scoped pilot (E) ...

Timings

Stages

Sampling63634 ms
Embedding648 ms
Signals5 ms
PPV2 ms

Errors

Agent and Round Errors

Grok 4.5: :timeout