This dashboard, "Search for Providers | No Results Search Summary," is designed to help understand instances where users search for providers but receive no matching results. This information is crucial for identifying gaps in your provider directory, improving search functionality, and ultimately enhancing the user experience.
Understanding the Data Presented This dashboard summarizes the number and percentage of searches that did not return any results within selected timeframes. The data is based on when the search event occurred, regardless of when the user's overall session began.
Dashboard Sections and How to Use Them
No Results Search Summary: This section provides a high-level overview of searches that yielded no results.
- No Results Searches: This metric shows the total volume of searches that returned no results. It also displays the percentage change from a prior period, allowing you to see if the number of "no results" searches is increasing or decreasing.
- No Results Rate: This metric represents the percentage of all searches that resulted in no findings. Similar to "No Results Searches," it indicates the percentage change from a prior period.
- No Results Search Volume & Rate Trend: This visualization displays the historical trend of both "Total No Results Searches" (the number of searches with no results) and the "No Results Search Rate" (the percentage of searches with no results) over time. This helps you identify if "no results" are a recurring issue or a recent development. You can adjust the granularity of this trend (e.g., daily, weekly, monthly) using the "Date Granularity" filter in the top filter bar.
No Results Search Type Detail: This section breaks down the "no results" searches by the type of search performed.
- No Results Distribution by Search Type: This bar chart shows which search types (e.g., searches by specialty, by name) are most frequently leading to no results, ordered from most to least frequent. This helps you pinpoint specific areas where content or search logic might need improvement.
- No Results Rate by Search Type: This bar chart shows the rate of no results for each search type, helping you understand which types of searches are most likely to return no results. This can highlight fundamental issues with certain search categories.
No Results Search Value Detail: This section provides the most granular view, showing the actual search terms that returned no results.
- No Results Search Value Details: This table lists up to 500 individual search terms (or "search values") that produced no results, along with the "Search Type" they fall under, the "Total No Results Searches" for that specific term, and the "No Results Search Rate" for that term.
- Important Note on Patient Privacy: For patient privacy, search values that occurred fewer than five times are not displayed in this table.
- An empty "Search Value" indicates that a blank search (e.g., hitting enter without typing anything) occurred and yielded no results. This detail is invaluable for directly addressing content gaps or refining synonyms and keywords in your search index.
Available Filters and Their Use
The dashboard includes several filters to help you tailor the data to your specific needs:
- Customer: This allows you to select data for a specific customer or multiple customers.
- Date: This filter sets the "current period" for the data displayed. The default value selects searches within the last 30 complete days.
- Set Prior Period: This filter determines how the "prior period" is calculated for comparison. The default is "immediate prior".
- Date Granularity: This controls the time interval for trends on the dashboard, allowing you to view data by day, week, or month.
- Search Type: This filter allows you to narrow down the analysis to specific categories of searches (e.g., by name, specialty, location).
- User Search: This filter lets you specify whether you want to see data related to searches performed directly by users.
By utilizing these filters, you can effectively investigate patterns in "no results" searches, prioritize improvements, and ensure users find the providers they need.