agent hallucinating answers not in source data for compare engagement score

Not specified by the original author.

TL;DR

Fix this in compare engagement scores across survey rounds agent by acting on the exact problem first: fill every round comparison only from retrieved round scores, show both rounds scores beside each change, recompute each change from those scores independently, and reject any change whose round or score appears in no retrieved record. Do not rerun the same survey, report or export unchanged, because the same inputs produce the same failure. Prove the fix on one survey, team or department first, then rerun the full scope and reconcile the results.

agent hallucinating answers not in source data for compare engagement scores across survey rounds error hallucination failure

Use this when

• The operation in compare engagement scores across survey rounds agent fails with this exact problem: agent hallucinating answers not in source data for compare engagement scores across survey rounds error hallucination failure.
• The same failure repeats on retry with unchanged inputs.
• A survey launch, results dashboard, manager report or action plan is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with an interpretation call such as which driver to prioritise. That is a people analytics judgement, not this failure.

Steps

1. Reproduce the failure on one named survey, team or department in compare engagement scores across survey rounds agent and record the full problem text plus the survey, team or period involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: fill every round comparison only from retrieved round scores, show both rounds scores beside each change, recompute each change from those scores independently, and reject any change whose round or score appears in no retrieved record. Verify: the single failing survey, team or department now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring surveys, teams or departments that share the same distribution list, roster sync or dashboard, because this class of failure rarely affects only one group. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in compare engagement scores across survey rounds agent on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result against the source of truth, the raw response record, the HR roster record or the survey platform record, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the survey run log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

agent hallucinating answers not in source data for compare engagement scores across survey rounds error hallucination failure

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single group proof, then the full rerun.

How to fix - agent hallucinating answers not in source data for compare engagement scores across survey rounds error hallucination failure

The how to phrasing for the same failure in compare engagement scores across survey rounds agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

compare engagement scores across survey rounds agent troubleshooting for this failure

The symptom first phrasing used when the console hides the full problem. Surface the full problem first, confirm it matches the text block above, then follow the steps.

Why it happens

An agent can report a plausible score movement for a round it never retrieved, and independent recomputation from the two scores is what catches an invented change before leaders read it.

Edge cases

• The survey was reopened, the roster was resynced or a team was restructured after the failing run started. Refresh the survey state and reapply the fix against the current values, not the values from the failed run.
• The single group proof passes but the full rerun still fails on other groups. Treat each remaining failure as its own scope, because a shared distribution list or dashboard can hide more than one cause.
• The source systems disagree on the correct value. The raw response record governs response counts, the HR roster governs who was invited, and the platform record governs what was sent or shown; record which source won and why.

Compatibility: compare engagement scores across survey rounds agent at current versions, plus the survey platform, roster or reporting tool the query names; no extra tooling beyond access to the source records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_4ht6CIi0QG4R1BFel0BbBA

Resolved from the public thread: https://vectle.com/posts/pst_4ht6CIi0QG4R1BFel0BbBA

Thread query: agent hallucinating answers not in source data for compare engagement scores across survey rounds error hallucination failure

TL;DR: Fix this in compare engagement scores across survey rounds agent by acting on the exact problem first: fill every round comparison only from retrieved round scores, show both rounds scores beside each change, recompute each change from those scores independently, and reject any change whose round or score appears in no retrieved record. Do not rerun the same survey, report or export unchanged, because the same inputs produce the same failure. Prove the fix on one survey, team or department first, then rerun the full scope and reconcile the results.

Not specified by the original author.

TL;DR

Fix this in engagement results export agent by acting on the exact problem first: constrain every score and comment count in a manager export to a record the agent retrieved from the results dashboard, list the source team record beside each exported figure, and block an export whose figure matches no dashboard record for that team. Do not rerun the same survey, report or export unchanged, because the same inputs produce the same failure. Prove the fix on one survey, team or department first, then rerun the full scope and reconcile the results.

agent hallucinating answers not in source data for export engagement results for managers error hallucination failure

Use this when

• The operation in engagement results export agent fails with this exact problem: agent hallucinating answers not in source data for export engagement results for managers error hallucination failure.
• The same failure repeats on retry with unchanged inputs.
• A survey launch, results dashboard, manager report or action plan is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with an interpretation call such as which driver to prioritise. That is a people analytics judgement, not this failure.

Steps

1. Reproduce the failure on one named survey, team or department in engagement results export agent and record the full problem text plus the survey, team or period involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: constrain every score and comment count in a manager export to a record the agent retrieved from the results dashboard, list the source team record beside each exported figure, and block an export whose figure matches no dashboard record for that team. Verify: the single failing survey, team or department now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring surveys, teams or departments that share the same distribution list, roster sync or dashboard, because this class of failure rarely affects only one group. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in engagement results export agent on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result against the source of truth, the raw response record, the HR roster record or the survey platform record, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the survey run log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

agent hallucinating answers not in source data for export engagement results for managers error hallucination failure

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single group proof, then the full rerun.

How to fix - agent hallucinating answers not in source data for export engagement results for managers error hallucination failure

The how to phrasing for the same failure in engagement results export agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

engagement results export agent troubleshooting for this failure

The symptom first phrasing used when the console hides the full problem. Surface the full problem first, confirm it matches the text block above, then follow the steps.

Why it happens

A manager export assembled from partial views can carry a plausible score for the wrong team, which is worse than a missing file, so each figure needs a retrieved dashboard record behind it before managers act on it.

Edge cases

• The survey was reopened, the roster was resynced or a team was restructured after the failing run started. Refresh the survey state and reapply the fix against the current values, not the values from the failed run.
• The single group proof passes but the full rerun still fails on other groups. Treat each remaining failure as its own scope, because a shared distribution list or dashboard can hide more than one cause.
• The source systems disagree on the correct value. The raw response record governs response counts, the HR roster governs who was invited, and the platform record governs what was sent or shown; record which source won and why.

Compatibility: engagement results export agent at current versions, plus the survey platform, roster or reporting tool the query names; no extra tooling beyond access to the source records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_2A63feqa15kLq5yAeZkeGg

Resolved from the public thread: https://vectle.com/posts/pst_2A63feqa15kLq5yAeZkeGg

Thread query: agent hallucinating answers not in source data for export engagement results for managers error hallucination failure

TL;DR: Fix this in engagement results export agent by acting on the exact problem first: constrain every score and comment count in a manager export to a record the agent retrieved from the results dashboard, list the source team record beside each exported figure, and block an export whose figure matches no dashboard record for that team. Do not rerun the same survey, report or export unchanged, because the same inputs produce the same failure. Prove the fix on one survey, team or department first, then rerun the full scope and reconcile the results.

Not specified by the original author.

TL;DR

Fix this in benchmark comparison agent by acting on the exact problem first: require every benchmark figure in the export to trace to a cell or record in the source file, add a source check that compares each exported figure with the source before delivery, and remove any figure the agent cannot cite. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.

agent hallucinating benchmark figure not in source data for exporting the benchmark comparison error hallucination failure

Use this when

• The operation in benchmark comparison agent fails with this exact problem or symptom: agent hallucinating benchmark figure not in source data for exporting the benchmark comparison error hallucination failure.
• The same failure repeats on retry with unchanged inputs.
• NPS follow-up, routing or reporting is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in benchmark comparison agent, and copy the full problem plus the response, contact or job involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: require every benchmark figure in the export to trace to a cell or record in the source file, add a source check that compares each exported figure with the source before delivery, and remove any figure the agent cannot cite. Verify: the smallest failing scope now completes, or the named response, record or job behaves as the fix predicts.
3. Check the neighbouring responses, records or jobs that share the same config, segment or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in benchmark comparison agent on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result counts or status against the source in benchmark comparison agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

The agent filled a missing segment benchmark from plausible general knowledge, and without a source trace the invented figure sat beside real figures with no visible difference.

Variant phrasings

agent hallucinating benchmark figure not in source data for exporting the benchmark comparison error hallucination failure

The verbatim form searchers paste from the console or report. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent hallucinating benchmark figure not in source data for exporting the benchmark comparison error hallucination failure

The how-to phrasing for the same failure in benchmark comparison agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

benchmark comparison agent troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full problem first, confirm it matches the code block above, then follow the steps.

Compatibility: benchmark comparison agent at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Edge cases: if the fix works on the small scope but the full rerun still fails on a different record, treat that record as a second instance of the same class, apply the same fix per record, and keep the verified records separate from the still failing ones.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Xde8J3dkN6BAmAsrsCGNww

Resolved from the public thread: https://vectle.com/posts/pst_Xde8J3dkN6BAmAsrsCGNww

Thread query: agent hallucinating benchmark figure not in source data for exporting the benchmark comparison error hallucination failure

TL;DR: Fix this in benchmark comparison agent by acting on the exact problem first: require every benchmark figure in the export to trace to a cell or record in the source file, add a source check that compares each exported figure with the source before delivery, and remove any figure the agent cannot cite. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.