What is the right number of cases to receive from your employees? We know it’s not zero, and it’s not 20%. But finding that sweet spot that reflects a healthy culture with low incidence of problems, and high reporting rates of those problems is elusive.
When you see a spike in a type of incident occurring repeatedly, is that because of something wrong with your organization or is it societal? We saw just such a swing in harassment reporting during the early days of the #MeToo movement.
Our goal for benchmarking is to provide our customers with the ability to overlay a wide variety of benchmarks on any of their reports. These will ultimately include industry, geopolitical, societal, incident type, demographic, firmographic and more.
You will access Benchmarking from the reports option in the main navigation. You will then click on Benchmarking Report as shown.
With this initial release, there are two dashboards:
- Intake and Resolution. This dashboard allows you to easily compare your intake and resolution types to the benchmark.
- Issue Class and Reported Volume. This dashboard allows you to quickly compare the volume of your cases to the benchmark data and see where you stand
Per 1,000 employees
Simply comparing your raw data e.g. number of cases, against the raw data of another company is not benchmarking. Indeed, comparing the raw number of cases is meaningless because it is expected that as a company grows, they will receive more cases. The normalization of the number of cases by the number of employees allows you to compare yourself to companies of different employee size.
To accomplish this, Convercent benchmarking divides your number of cases by your employee size and multiplies by 1,000. This produces your standardized number of cases per 1,000. You can use that number to compare against the benchmark that is calculated the same way.
There are different statistics that can describe the distribution of data in a dataset. The most widely used one is the mean (also called average). The problem with this metric is companies with a large or very limited amount of cases are skewing the mean in either direction. To avoid this phenomenon, we have chosen to use percentiles.
There are three major percentiles: the 25th percentile, the 50th percentile (also called median) and the 75th percentile. They are calculated by ordering the data (such as the number of cases per 1,000) from smallest to largest. The lowest value that is larger than 25% of the datapoints is the 25th percentile. The lowest value that is larger than 50% of the datapoints is the median (you can see it as the middle point of the dataset) and the lowest value that is larger than 75% of the datapoints is the 75th percentile.
In addition, percentiles help inform a customer where their datapoint stands because not only will they know where they stand relatively to the median, but also how much over or under they are. The chart below demonstrates how the benchmarking percentiles are presented:
With this initial rollout, we will offer four areas that you can filter on:
- Organization Size
Over time, as we being to receive feedback from our user community, we anticipate adding more filters to further increase the power of the benchmarking application.
At Convercent, we have three levels of issue classification:
- Primary Classification
- Secondary Classification
- Issue Type
Employee Relations Concerns
Employee Relations Concerns
Employee Relations Concerns
Harassment - Age
Initially, you will be able to filter on the six Primary Classifications.
- Employee Relations Concerns
- Environment, Health and Safety
- Ethics and Compliance Concerns
- Financial Concerns
- Theft or Misuse of Assets
*’Blank’ may also appear as an option. This occurs when there is no issue type defined, often as a result of the legacy data imported.
You can choose which industries to include in the benchmark statistics by selecting from the filter list.
Please note, you can see what industry our records show you are in when you look at the Benchmarking dashboard. If this is not correct, please contact your Customer Success Manager so we can update your information.
The filter options are listed below:
- Some organizations in the system are not mapped to industries.
- Accommodation and Food services
- Administrative and Support and Waste Management and Remediation Services
- Agriculture, Forestry, Fishing and Hunting
- Arts, Entertainment and Recreation
- Educational Services
- Finance and Insurance
- Health Care and Social Assistance
- Management of Companies and Enterprises
- Mining, Quarrying, and Oil and Gas Extraction
- Other Services
- Professional, Scientific and Technical Services
- Public Administration
- Real Estate and Renting and Leasing
- Retail Trade
- Transportation and Warehousing
- Wholesale Trade
You can choose the organization sizes to include in the benchmark statistics by selecting from the filter list.
Please note, you can see the size of your organization according to our records when you look at the Benchmarking dashboard. If this is not correct, please contact your Customer Success Manager so we can update your information.
The filter options are:
Current month visualizations
When looking at the current month, as in the example below, you will always see a sharp drop off in the visualization. At the beginning of the month, we do not have the data to calculate the percentiles hence the drop. We are currently refreshing the data on a weekly basis so that drop off will change through the course of the month.
As a result of the k-anonymization technique that we apply, there may be some options that do not yield any results. For example, you may select Financial Concerns and Accommodation and Food Services. There may not be enough companies matching those selections for us to present data. As a result, visualizations may not generate.
If you are unable to view the filters, please refresh the page.
This is caused by the expiration of the authentication token and is part of the security protocols built into the reporting tool that supports Benchmarking