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  4. All
    1909
  5. Health
Displaying 1201 - 1250 of 1909

%{requests}

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%{num} request

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%{num} requests

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%{detractors}

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%{promoters}

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%{visitors}

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%{num} unique visitor

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%{num} unique visitors

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%{num_visits}

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people

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You responded to 0 messages received in the last %{formatted_points}.

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Questions or feedback

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The amount of time a user has to wait for a response when contacting support is grouped into 4 grades: messages that get a response in under an hour get an <strong>"A+"</strong> (100), 1-4 hours gets an <strong>"A"</strong> (95), 4-24 hours gets a <strong>"B"</strong> (85), and over 24 hours gets an <strong>"F"</strong> (55). Messages that have not received a response are not included.

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Here's the wait time breakdown of the %{message_count} graded from %{start_date} to %{end_date}:

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Average grade

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Weekdays

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Overall, your average grade is <b>%{formatted_score}</b>.

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That's <b>%{change}</b> over the previous %{period}.

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Your grade for the previous period was <b>%{formatted_previous_score}</b>

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Average wait time

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On average, <b>users waited %{average}</b> to get a response.

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That's <b>%{change}% %{direction}</b> than the %{average} average from the previous %{formatted_points}.

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The good news is that <b>averages can be very misleading.</b> Most users waited less than %{time} to receive a response. This is great!

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Most users had to wait longer than the %{time} average to receive a response.

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During the previous period, users waited, on average, <b>%{previous_average}</b> to get a response.

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Average wait time

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Weekdays

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Distribution of incoming messages

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You responded to <b>%{count}</b> received in the last %{formatted_points} (roughly %{rate}/%{granularity}).

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That's <b>%{direction} %{change}%</b> over the previous %{formatted_points}.

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In the previous period you responded to <b>%{previous_count}</b>.

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Here are incoming messages distributed by %{granularity}, segmented by how long users waited for a response:

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Weekdays

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It's also helpful to see how many messages users typically send on days and hours of the week, and how long they usually have to wait for a response.

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In the punchcard chart below, <strong>circle size</strong> indicates the number of messages received and <strong>circle color</strong> indicates the how long users waited to receive a response. Areas with a <strong>blue background</strong> indicate <em>coverage</em> (times when agents are regularly responding to tickets).

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Graded messages

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Average grade

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Average wait time

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Hourly averages

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Graded messages

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Average grade

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Average wait time

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<b>Coverage:</b> You have an average of %{agent_count} agents with %{response_count} responses on %{day_and_time}.

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Awaiting first response

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Median open time

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Host

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Source: %{source}

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Include 1 attachment

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Include %{count} attachments

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Project

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