Nexthink Finder is a Windows-only desktop application whose functionality is now available within the Nexthink web interface. Nexthink can now be used directly from a browser and most functions no longer require an additional desktop application.
After you publish a campaign, the targeted employees start answering the campaign questions. You can learn how to examine the answers that users provide to your campaigns in detail either by creating investigations in Finder or by building new dashboards the Nexthink web interface.
Quick campaign results
To quickly display the results of an ongoing campaign so far:
Log in to Finder as a user with the right to create campaigns.
Select the Campaigns section on the left-hand side of the main window.
Right-click the name of a published campaign.
Select Display results from the menu.
You get a list of all the users along with their campaign-related fields. Refine the obtained results by adding or removing columns and conditions to this automatically generated investigation.
User fields related to campaigns
Once you have created a campaign, a new set of custom fields related to the campaign are available in all objects of type
user. These fields allow you to see user responses to each campaign question, as well as review additional information according to user status in relation to the campaign. These fields are also available as conditions on user objects in investigations.
The names of all campaign-related fields start with the name of the campaign and have the following values:
Campaign name - Last action time
The last time that the user interacted with a campaign (dealt with a notification or answered any question).
Campaign name - Number of days since last action
Time elapsed since the user last interacted with a campaign.
Campaign name - Status
How far the user has gone through the campaign.
Campaign name - Question name
There is one additional field per question defined in the campaign. The value of this field corresponds to the answer given by the user:
For single-answer questions, the value is the name of the answer selected by the user.
For multiple-answer questions, the value is a list with the names of all the answers selected by the user.
For opinion scale questions, the value is the name of the answer selected by the user, followed by the numerical value attributed to the answer between parentheses.
Campaign name - Question name (optional text)
For multiple-answer or opinion scale questions that include an optional free text field, the value is the text typed in by the user.
Status of a user
The status of a user in relation to a campaign depends on whether or not the user agrees to participate in it and, in the former case, on how far into answering campaign questions the user is. The status of the user regarding the campaign changes:
The campaign did not target the employee or the employee has not received a notification yet, either because of problems communicating with the user's device or because the device is turned off.
The user received the notification from the campaign but ignored it.
The user clicked on the notification to answer the campaign but did not answer any questions.
The user started to answer the questions of the campaign but did not go to the end of it.
The user answered all the questions of the campaign.
After receiving the notification, the user decided not to immediately take the survey but be reminded about it in the future, the user clicked the Later button.
After receiving the notification, the user decided not to take the survey, the user clicked the Never button.
Delayed (do not disturb)
The campaign has not been delivered yet because it arrived during an interval that protects the user from bursts of campaigns. The user will receive the campaign once the protection period elapses.
You can run investigations with conditions on users using the created campaign-related Custom Fields.
Metric computations related to campaigns
Campaigns also let you define metrics around them. Build dashboards in Nexrthink web interface that display campaign-related metrics to analyze the responses of your end-users and measure the success of your campaigns.
Metrics that count the number of users may benefit from the campaign-related custom fields of users to group the results. When displaying the results of a count metric in Nexthing web interface, either in a table or in a bar chart widget, you can group the users by their response to a particular question or by their status in connection with a campaign.
In this way, follow the progress of a campaign by creating a count metric that groups users by their status in relation to the campaign. Add the metric to a bar chart widget in a dashboard and you will get a breakdown of the number of users who have fully answered the campaign, those who have only answered a few questions, those who have answered none, etc.
In addition to grouping results, campaign-related custom fields of users let you define ratios in count metrics. If you define a metric that gets the number of users who both fully answered the campaign and answered positively to a particular question, then compare this information to the total number of users who fully answered the campaign. You will get a count metric that has computed the ratio of users who have answered positively. It is recommended that you always use the modifier all users and not active users when defining count metrics that relate to employee feedback. The reason is that you usually want to take into account the responses of all users who answered the campaign, even if they were not active on the last day.
Similar to the generated custom fields for users, creating a campaign also adds new options to create quantity metrics based on users. Since quantity metrics require a numerical value, only opinion scale questions make these options available. Thus, for every opinion scale question included in a campaign, there is a corresponding option to create a quantity metric for objects of the type
user. The label of the name has the following format:
Campaign name - Opinion scale question
Quantity metrics related to opinion scale questions make it easy to compute average response values in the Nexthink web interface.