What did the human
bring to the work?

Trace the information, corrections and decisions people contribute to AI conversations. Start with the evidence.

HUMAN TURN 01 · u1

The human supplies the data and defines what the summary should cover.

Goal framing · 目标定义

Sets a concrete reporting objective.

Write a brief conversion-rate summary.u1 ↗
Information · 信息补充

Provides conversion and visit counts for two segments.

Segment A had 9 conversions from 10 visits; segment B had 1 conversion from 90 visits.u1 ↗
Constraints · 约束设定

Requires both segment-level and overall reporting.

Show both segments and the overall result.u1 ↗
VISIBLE FOLLOWUP · observed

The assistant uses the segment counts, but its overall aggregation is incorrect. Visible uptake does not imply correctness.

Segment A converted at 90% and segment B at 1.11%.a1 ↗
Review notes
  • The counts are supplied in the conversation; there is no independent dataset verification.
HUMAN TURN 02 · u2

The human corrects an aggregation error with an explicit calculation.

Correction · 纠错

Identifies that averaging segment rates gives the wrong overall rate here.

The overall rate must be total conversions divided by total visits.u2 ↗
Verification · 检验与验收

Provides a checkable calculation using the supplied counts.

(9 + 1) / (10 + 90) = 10%, not 45.56%.u2 ↗
VISIBLE FOLLOWUP · observed

The next assistant response uses the corrected overall rate.

Overall, 10 of 100 visits converted, giving a 10% conversion rate.a2 ↗
Review notes
  • The trace shows a correction followed by a revision. It does not measure what the assistant would have done without this intervention.
HUMAN TURN 03 · u3

The human chooses the headline and limits the interpretation.

Decision · 决策取舍

Selects the overall rate as the main result.

Use the 10% overall rate as the headline.u3 ↗
Constraints · 约束设定

Requires the segment rates and rules out an unsupported causal interpretation.

Keep the segment rates below it, and describe the result without claiming the segment caused the difference.u3 ↗
VISIBLE FOLLOWUP · observed

The assistant follows the requested presentation and states the causal limitation.

Overall conversion: 10%.a3 ↗
These are descriptive results; the data do not establish why the segment rates differ.a3 ↗
Review notes
  • This is an editorial decision with visible uptake, not a measured gain in task quality.
HUMAN TURN 04 · u4

The human acknowledges the response without adding a specific task contribution.

No specific task contribution identified in this message.

VISIBLE FOLLOWUP · not_observed

The assistant acknowledges the thanks; no substantive work change is visible.

You're welcome.a4 ↗
Review notes
  • Social acknowledgment can matter to interaction; this narrow task-contribution rubric does not quantify that value.
SOURCE CONVERSATION

Every observation leads back to the text.

USER · u1

Write a brief conversion-rate summary. Segment A had 9 conversions from 10 visits; segment B had 1 conversion from 90 visits. Show both segments and the overall result.

ASSISTANT · a1

Segment A converted at 90% and segment B at 1.11%. Averaging these gives an overall conversion rate of 45.56%.

USER · u2

The overall rate must be total conversions divided by total visits. (9 + 1) / (10 + 90) = 10%, not 45.56%. Please correct the summary.

ASSISTANT · a2

Corrected: Segment A had a 90% conversion rate; segment B had a 1.11% rate. Overall, 10 of 100 visits converted, giving a 10% conversion rate.

USER · u3

Use the 10% overall rate as the headline. Keep the segment rates below it, and describe the result without claiming the segment caused the difference.

ASSISTANT · a3

Overall conversion: 10%. Segment A: 90% (9/10). Segment B: 1.11% (1/90). These are descriptive results; the data do not establish why the segment rates differ.

USER · u4

Thanks!

ASSISTANT · a4

You're welcome.

Reading the results

Evaluation API attempts recorded: 0. Usage records the model resources consumed by this analysis.