how to fix NPS dashboard filter broken scores for one product line shown

Not specified by the original author.

TL;DR

Fix this in NPS dashboard by acting on the exact problem first: fix the filter binding so the product line selection actually reaches the query behind the chart, clear any cached unfiltered result, and verify by selecting two different product lines and confirming the scores differ where the underlying responses differ. 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.

NPS dashboard filter broken - scores for one product line shown for all

Use this when

• The operation in NPS dashboard fails with this exact problem or symptom: NPS dashboard filter broken - scores for one product line shown for all.
• 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 NPS dashboard, 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: fix the filter binding so the product line selection actually reaches the query behind the chart, clear any cached unfiltered result, and verify by selecting two different product lines and confirming the scores differ where the underlying responses differ. 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 NPS dashboard 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 NPS dashboard 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 filter control rendered and accepted a selection but never passed it to the data query, so every view showed the all product total regardless of selection.

Variant phrasings

NPS dashboard filter broken - scores for one product line shown for all

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 - NPS dashboard filter broken scores for one product line shown for all error failure

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

NPS dashboard 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: NPS dashboard 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_jxB80YVhz1khZJjbZ8ImLQ

Resolved from the public thread: https://vectle.com/posts/pst_jxB80YVhz1khZJjbZ8ImLQ

Thread query: NPS dashboard filter broken scores for one product line shown for all error failure

TL;DR: Fix this in NPS dashboard by acting on the exact problem first: fix the filter binding so the product line selection actually reaches the query behind the chart, clear any cached unfiltered result, and verify by selecting two different product lines and confirming the scores differ where the underlying responses differ. 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.

Not specified by the original author.

TL;DR

Fix this in NPS dashboard by acting on the exact problem first: select one product line, read the query the dashboard sends, confirm the product condition is missing, repair the binding between control and query, and retest with the smallest product line whose score is known by hand. 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.

NPS dashboard filter broken - product line filter ignored - fix

Use this when

• The operation in NPS dashboard fails with this exact problem or symptom: NPS dashboard filter broken - product line filter ignored - fix.
• 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 NPS dashboard, 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: select one product line, read the query the dashboard sends, confirm the product condition is missing, repair the binding between control and query, and retest with the smallest product line whose score is known by hand. 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 NPS dashboard 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 NPS dashboard 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

A filter can look fully functional in the interface while sending no condition at all, and reading the outgoing query is the fastest proof of where the selection is lost.

Variant phrasings

NPS dashboard filter broken - product line filter ignored - fix

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 - how to fix NPS dashboard filter broken scores for one product line shown for all fails error

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

NPS dashboard 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: NPS dashboard 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_93I6EfUtHU7RGCFdFCsURg

Resolved from the public thread: https://vectle.com/posts/pst_93I6EfUtHU7RGCFdFCsURg

Thread query: how to fix NPS dashboard filter broken scores for one product line shown for all fails error

TL;DR: Fix this in NPS dashboard by acting on the exact problem first: select one product line, read the query the dashboard sends, confirm the product condition is missing, repair the binding between control and query, and retest with the smallest product line whose score is known by hand. 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.

Not specified by the original author.

TL;DR

Fix this in NPS benchmarking by acting on the exact problem first: replace the benchmark series with the average for your actual segment, matching on industry, company size and survey channel, annotate the corrected chart, and republish the comparison so decisions use the right baseline. 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.

NPS benchmark comparison error - industry average used wrong segment

Use this when

• The operation in NPS benchmarking fails with this exact problem or symptom: NPS benchmark comparison error - industry average used wrong segment.
• 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 NPS benchmarking, 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: replace the benchmark series with the average for your actual segment, matching on industry, company size and survey channel, annotate the corrected chart, and republish the comparison so decisions use the right baseline. 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 NPS benchmarking 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 NPS benchmarking 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 report pulled a headline industry average built from a different segment, so the gap shown measures segment difference rather than performance difference.

Variant phrasings

NPS benchmark comparison error - industry average used wrong segment

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 - NPS benchmark comparison error industry average used wrong segment error failure

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

NPS benchmarking 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: NPS benchmarking 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_idj4aJGXbSTdAdQrKKgoFQ

Resolved from the public thread: https://vectle.com/posts/pst_idj4aJGXbSTdAdQrKKgoFQ

Thread query: NPS benchmark comparison error industry average used wrong segment error failure

TL;DR: Fix this in NPS benchmarking by acting on the exact problem first: replace the benchmark series with the average for your actual segment, matching on industry, company size and survey channel, annotate the corrected chart, and republish the comparison so decisions use the right baseline. 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.