Understanding report visualizations in analyst copilot (EAP)

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<p id="docs-hc-snippet" style="display: none;">When you create a report in analyst copilot, you can choose from a range of visualization types that control how it appears. This article explains how to change the report visualization and provides a reference to the available visualization types.</p>
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<p class="p">When you create a report in analyst copilot, you can choose from a range of visualization
types that control how it appears. This article explains how to change the report
visualization and provides a reference to the available visualization types.</p>
<p class="p" dir="ltr">For help on creating reports and changing visualization types, see <a class="xref" href="https://support.zendesk.com/hc/en-us/articles/10468766765338-Creating-reports-in-analyst-copilot-EAP" target="_blank">Creating reports in analyst copilot</a>.</p>
<p class="p">Analyst copilot reports support the following visualization types:</p>
<table border="0" cellpadding="4" cellspacing="0" class="simpletable" id="acp_report_visualizations__simpletable_ecm_yx4_pjc" summary="">
<col style="width:33.33333333333333%">
<col style="width:33.33333333333333%">
<col style="width:33.33333333333333%">
<thead></thead>
<tbody>
<tr class="strow">
<td class="stentry" style="vertical-align:top;"><strong class="ph b">Visualization type</strong></td>
<td class="stentry" style="vertical-align:top;"><strong class="ph b">Description</strong></td>
<td class="stentry" style="vertical-align:top;"><strong class="ph b">Uses</strong></td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Area</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_uwt_mhp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_area.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">Displays data points (often time-based) along an X-axis, and a Y-axis, such
as counts or sums. The points are connected by a line, and the area below
the line is shaded, helping you see overall trends and total amounts over
time, such as ticket volume or sales.</p>
<p class="p">A simple area chart shows just one series, such as total tickets per month,
and visualizes overall growth. A stacked area chart displays multiple
series, such as tickets from different support channels so you can see both
each group’s contribution and the total trend over time.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_vxy_yt5_pjc">
<li class="li">Tracking cumulative or total values over time.</li>
<li class="li">Visualizing how different sources contribute to total ticket volume, or
looking for patterns in usage or growth. </li>
<li class="li">Stacked area charts are best used when you want to emphasize both
overall volume trends and the breakdown by sub-groups. They are less
suited for precise comparison between individual series when values
fluctuate a lot.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Bar</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_jqf_xkp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_bar.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">Displays data using rectangular bars, where the length of each bar
represents the value of the data for a specific category. In a bar chart,
categories are typically displayed on the Y axis (for horizontal bar charts) and
metrics (values) are shown on the X axis.</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_tpk_fdp_pjc">
<li class="li">Comparing the performance or value of individual categories (for
example, teams, product types, regions).</li>
<li class="li">Situations where long category names occur and need space to be
legible.</li>
<li class="li">Data sets with more than 5–7 categories or negative values. </li>
<li class="li">Visualizing distributions (such as histograms) when showing counts per
bucket or group.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Chord</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_wnp_rhp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_chord.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">Displays entities (such as teams, regions, article topics, or departments) on
the edge of a circle. Each curved line, also called a <em class="ph i">chord</em> or
<em class="ph i">ribbon</em>, spans from one entity to another, indicating an
interaction or flow (for example, traffic, shared users, or resource
exchange). The thickness of each chord visually communicates how significant
that link is compared to others. </p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_fmx_lhv_pjc">
<li class="li">When the relationships between categories are critical for your
analysis, especially if the relationships are many-to-many or
bidirectional.</li>
<li class="li">When you want to see both the structure and the intensity of how
different entities interact rather than just comparing totals.</li>
<li class="li">For uncovering hidden clusters, patterns of overlap, or imbalances in
interconnected data.</li>
<li class="li">Visualizing agent handoffs in support processes, cross-team ticket
movement, or which articles are most often read in sequence.</li>
</ul>
<p class="p">Chord charts are less suited for presenting time series, exact values, or
datasets with a very large number of categories, where visual clarity may
suffer.</p>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Combo</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_mgk_5kp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_combo.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">Combines two or more chart types, most commonly bars and lines, into a single
view. This allows you to display multiple metrics, even those with very
different value ranges (like revenue and ticket volume), on the same
chart.</p>
<p class="p">By using both a primary and a secondary Y axis, you can make each metric
quickly comparable and visually distinct, making it easier to compare data
within a single report. </p>
<p class="p">Combo charts require at least two metrics to display.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_b5k_lgv_pjc">
<li class="li">Comparing and correlating metrics with widely different ranges in a
single, consolidated report.</li>
<li class="li">Seeing how performance indicators interact, such as linking operational
numbers (tickets solved) with customer outcomes (CSAT score).</li>
<li class="li">Building dashboards and reports that demand layered insights, without
cluttering your report with separate charts.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Donut</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_sdq_qkp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_donut.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">A variation of a pie chart that displays data as proportional segments of a
circular ring, rather than a filled circle. Each segment represents a
category’s value in relation to the whole, making it easier to see the
composition and share of each part. </p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_kmx_5gv_pjc">
<li class="li">Conveying relationships for a metric such as the percentage of tickets
closed.</li>
<li class="li">Seeing both the breakdown of components and the overall number or
percentage.</li>
</ul>
<p class="p">Donut charts are not recommended when you have many small, similarly-sized
categories, or when you need to compare values in detail. Bar charts or
tables are better for those scenarios. </p>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Heatmap</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_wxm_mkp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_heatmap.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">Visualizes quantitative values using a matrix of colored cells. Each cell’s
color intensity reflects the magnitude of the value at that position. <p class="p">For
example, in analyst copilot, a heatmap might show ticket creation counts,
where the X-axis is days of the week, the Y-axis is hours, and cell color
indicates ticket volume. Darker or more saturated colors represent higher
values, while lighter colors indicate lower values.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_s42_5s5_pjc">
<li class="li">Identifying when the highest numbers of tickets are submitted, so
staffing can be optimized. </li>
<li class="li">Pinpointing times when response times are slowest, revealing
opportunities to adjust SLAs or agent scheduling for a better customer
experience. </li>
<li class="li">Any metric that varies by two categorical or time-based dimensions can
leverage a heatmap for clarity, for example, solved tickets by hour and
day.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">KPI (Key Performance Indicator)</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_z1s_2kp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_kpi.png" width="250"></p>
</td>
<td class="stentry" style="vertical-align:top;">A value that indicates how effectively an organization, team, or individual
is achieving a critical business objective. KPIs are used to evaluate success at
reaching specific targets and inform decision-making, operational improvements,
and strategic priorities within a company. <p class="p">Examples include metrics like
customer satisfaction score (CSAT), first response time, ticket volume,
sales conversion rate, or system uptime, each tied to a business goal or
expected outcome.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_wwx_kdp_pjc">
<li class="li">Maintaining CSAT above 90%.</li>
<li class="li">Keeping average first response time below two hours.</li>
<li class="li">Achieving 75% first contact resolution rate for all support
inquiries.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Line</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_hkm_1lp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_line.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">Represents how metric results change over time or another continuous
dimension. It displays data points connected by straight or curved lines,
making it ideal for visualizing trends, patterns, or changes in values over
a period.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_bdn_w2p_pjc">
<li class="li">Visualizing how many tickets are created, solved, or closed each
day.</li>
<li class="li">Showing how response times or satisfaction rates evolve over time.</li>
<li class="li">Monitoring daily, monthly, or quarterly sales growth and dips.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Network</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_cby_2lp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_network.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">Shows how different things (like teams or systems) are connected. Each dot is
a <em class="ph i">node</em>, and lines (called <em class="ph i">edges</em>) show how they are linked or
depend on each other. This helps you quickly see clusters, spot the most
important nodes, and understand how everything fits together.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_jwy_1fp_pjc">
<li class="li">Mapping dependencies between teams or services.</li>
<li class="li">Visualizing communication, transaction, or workflow patterns.</li>
<li class="li">Analyzing the connectivity and structure within a technical
infrastructure or organizational chart.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Radar</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_emb_jlp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_radar.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">A radar chart, also known as a spider chart, is designed to display
multivariate data across at least three metrics, where each metric is
represented as an axis radiating from a central point. Each data group is
plotted across these axes and connected to form a polygon, often with lines
of different colors representing additional groupings or categories.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_vby_ycp_pjc">
<li class="li">Comparing three or more metrics for multiple groups side-by-side.</li>
<li class="li">Visualizing profiles of strengths and weaknesses.</li>
<li class="li">Comparing team, product, or market-key metrics simultaneously.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Sankey</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_yd2_bmp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_sankey.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">A flow visualization that illustrates how data, resources, or values move
between different categories or stages. <p class="p">Each node in the diagram represents a
category or step in a process, while the links (arcs) connecting nodes show
the flow between them. The width of each link is proportional to the amount
or magnitude of the flow it represents, offering a direct visual
representation of the volume moving through various paths.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_msh_1lv_pjc">
<li class="li">Illustrating how support tickets move from New to Open, then to
Assigned, and finally to Solved or Closed status. Each step’s flow width
would represent the number of tickets transitioning at that stage,
exposing bottlenecks or lost tickets at a glance.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Scatter</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_pmq_kmp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_scatter.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">Plots pairs of numerical values, where each axis represents a different
metric or variable. By evaluating the distribution of points, you can identify
potential correlations (positive, negative, or none), groupings, or anomalies
across your dataset. <p class="p">Unlike line charts or bar charts, scatter charts do not
connect the points or aggregate over categories, they map every data pair,
providing a direct view of distribution and relationships.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_n5m_hfp_pjc">
<li class="li">Visualizing the relationship or correlation between two variables, for
example, customer satisfaction and resolution time.</li>
<li class="li">Identifying trends, clusters, or outliers in your data.</li>
<li class="li">Analyzing how changes in one variable may relate to changes in
another.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Table</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_jy5_yjp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_table.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">
<p class="p">Organizes information into rows and columns, similar to a spreadsheet, making
it easy to display detailed records and compare values across multiple
categories or attributes. Each row typically represents an individual item
or record, while each column displays a specific metric or attribute for
those items.</p>
<p class="p">A table helps you to break down data (such as ticket volume, CSAT, or chats
by country) into straightforward tables for easy analysis.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_rbs_kfp_pjc">
<li class="li">Comparing metrics for multiple categories or entities.</li>
<li class="li">Aggregating totals, averages, or other calculations by column.</li>
<li class="li">Drilling down and filtering to explore underlying data.</li>
<li class="li">Supports alignment with timezone, filters, and metrics definitions for
accuracy. </li>
<li class="li">Exportable for additional offline analysis in other applications.</li>
</ul>
<p class="p">Table charts are best suited for displaying categorical, granular, or
high-detail data where other chart types (like a bar or line graph) would be
too cluttered or imprecise.</p>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Timeline</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_jrx_qmp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_timeline.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">Arranges events in chronological order, often showing each event as a
marker (dot, icon, or bar) positioned along a time axis. Events can represent
instantaneous points in time (like a ticket being opened) or durations (like a
deployment window or scheduled outage). <p class="p">Timeline charts display these events
or periods above and below the central time axis, often with labels or
descriptions attached.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_br1_qfp_pjc">
<li class="li">Tracking milestones, phases, and dependencies between tasks (similar to
Gantt charts.</li>
<li class="li">Visualizing when incidents start and end, how they overlap, and their
impact sequences for platforms or services. </li>
<li class="li">Ordering approvals, deployments, and comments for process transparency. </li>
<li class="li">Visualizing completed tasks, weekly goals, or support activity over
calendar time. </li>
<li class="li">Presenting key events in product or customer journey timelines.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Toggle</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_uf2_zhp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_toggle.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">Allows you to switch between different grouped or segmented views of the
data using a UI control directly on the chart or dashboard widget. Analyze the
same metric across multiple groupings by switching between categories such as
brand, group, or status, without building separate reports or charts for each
view.<p class="p">Once you've selected the data you want, click <strong class="ph b">Drill into
selection</strong>. Analyst copilot adds a new filter that restricts the
report to only the items you selected.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_idk_fhp_pjc">
<li class="li">Switching between performance of each group or region.</li>
<li class="li">Reviewing individual or team-level statistics, such as first reply time
and CSAT.</li>
<li class="li">Toggling between brands, products, or channels to see breakdowns in the
same visual context.</li>
<li class="li">Checking different customer segments or ticket statuses.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Treemap</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_kth_5mp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_treemap.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">Displays hierarchical data using nested rectangles, where the size of each
rectangle is proportional to a specific value or metric. Treemaps are helpful
for comparing multiple categories and subcategories at once, allowing you to see
both the overall distribution and the largest (or smallest) contributors in a
single compact visual.<p class="p">In a treemap, each higher-level category contains
smaller rectangles representing its subcategories. The larger the value, the
bigger the rectangle. When you hover over or click a rectangle, you can see
more detailed information. </p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_bt5_m4v_pjc">
<li class="li">Displaying multiple levels of grouping, such as teams within departments
or topics within categories, making it easy to understand relationships
between parent and child groups.</li>
<li class="li">The size of each rectangle in a treemap corresponds to the value of that
item relative to the total, so you can quickly see which categories are
largest or smallest.</li>
<li class="li">Unlike pie charts, treemaps remain readable even when there are many
items, letting you see all results at a glance.</li>
<li class="li">Identifying where most of your volume or activity is concentrated, and
making it easy to spot dominant or underrepresented segments.</li>
<li class="li">Since treemaps are compact and space-filling, they provide a dense
overview when space is at a premium.</li>
</ul>
</td>
</tr>
<tr class="strow">
<td class="stentry" style="vertical-align:top;">
<strong class="ph b">Waterfall</strong><p class="p"></p>
<p class="p"><img class="image" id="acp_report_visualizations__image_c4m_vhp_pjc" src="https://zen-marketing-documentation.s3.amazonaws.com/docs/en/HA_waterfall.png" width="350"></p>
</td>
<td class="stentry" style="vertical-align:top;">A waterfall chart visually represents a sequence where each bar indicates
an increase or decrease from the previous total. <p class="p">The chart begins with a
starting value (often called the baseline), then shows a sequence of
additions (positive changes) and subtractions (negative changes), typically
as floating bars, before arriving at the final total (ending value).
Connector lines are often used to “bridge” these bars together, reinforcing
the idea of a running sum.</p>
</td>
<td class="stentry" style="vertical-align:top;">
<ul class="ul" id="acp_report_visualizations__ul_t4d_3qp_pjc">
<li class="li">Showing how a sequence of changes (both positive and negative) leads to
a final value.</li>
<li class="li">Visualizing how individual components contribute to a total, such as
breaking down ticket volume, revenue, or bookings by source or by time
period.</li>
<li class="li">Comparing results across sequential time periods (like month over
month), rather than showing overall time trends.</li>
<li class="li">Analyzing scenarios where you have multiple contributing metrics or need
to highlight the impact of each on the outcome.</li>
</ul>
<p class="p">Waterfall charts are less suited for visualizing trends over long periods or
when you need to compare many series at once; other chart types like line,
area, or column might be better for those cases.</p>
</td>
</tr>
</tbody>
</table>
</div>
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