Details
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Task
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Resolution: Fixed
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Neutral
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None
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None
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Empty show more show less
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Empty show more show less
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3
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Yes
Description
Context:
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OKR
Objective. Speed up content creation & content management
Key result (Quarterly KR): Search Relevance. Increase % of clicks in the top 10 results
https://docs.google.com/document/d/1txbkoTv53Wi9l2XonnBRQtxiu-xR-GQP0epX6dx8xVs/edit#
AC:
Collect using magnolia user metric framework the following data:
- nb of queries issued into findbar
- nb of pickedItems
- the ratio: pickedItems/total queries
Note: we do not need to track the metrics per user. This are cumulative metrics
Dev notes:
The ideal scenario is to send the 2 deltas (totalQueries and pickedItems) over to the magnolia telemetry system. And the ratio would be computed by
Sum(deltas(pickedItems))/Sum(deltas(totalQueries))
This way we can control when to reset the counters
Checklists
Attachments
Issue Links
- clones
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MGNLPER-185 Search Performance metric. How many ms it takes to return results on big-data
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- Closed
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- is cloned by
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MGNLRANK-8 Search Relevance metric. Position of ranking of the result I have clicked on
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- Closed
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