Top 8 Customer Success Dashboard Examples and Best Practices

A customer success dashboard turns customer data into operational decisions by showing health scores, adoption, churn risk, retention, and expansion signals in one working view. This enables lean teams spend less time assembling reports and more time acting on customer signals 

A useful Customer Success dashboard should help the person using it answer a specific question, such as which customers need attention, where revenue is at risk, or whether adoption is improving. 

The most effective dashboards prioritize a small number of relevant metrics, make trends and changes easy to spot, and provide enough context to understand what is driving them. 

Key takeaways

• Customer Success dashboards centralize key metrics to help CSMs monitor customer health, engagement, and risk.
• Health dashboards identify at-risk accounts using health scores, usage trends, and churn signals, while onboarding dashboards track milestone progress to ensure customers reach value faster.
• Engagement dashboards reveal feature adoption patterns and opportunities to improve usage.
• Renewal and upsell dashboards highlight expansion opportunities and upcoming renewals, and support dashboards provide insight into ticket trends, resolution times, and customer satisfaction.

Types of customer success dashboards

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1. Executive customer success dashboard

An Executive Customer Success Dashboard gives leadership a portfolio-level view of retention, revenue exposure, customer health, and growth opportunities. It should focus on trends and systemic issues rather than account-level activity. 

• Who uses it: VP/Head of Customer Success, CRO, COO, CS leadership
• How often: Weekly or monthly
• Main question solved: How is the customer portfolio performing, and where does leadership need to intervene?
• Key metrics: GRR, NRR, ARR at risk, renewable ARR, expansion pipeline, portfolio health, churn risk
• Best for: Monitoring retention performance, identifying systemic risks, and understanding revenue exposure across the customer base
• Typical actions: Adjust retention strategy, prioritize renewal risks, allocate resources, escalate recurring customer issues, investigate underperforming segments

A good Executive Customer Success Dashboard includes the following elements:

GRR and NRR:

Gross Revenue Retention (GRR) and Net Revenue Retention (NRR) how how effectively the business is retaining and growing revenue from existing customers. 

Tracking both over time, and breaking them down by segment, product, region, or contract size, helps leadership identify deterioration that may be hidden by the overall number.

ARR by customer health:

Showing recurring revenue across healthy, watchlist, and at-risk accounts gives leadership a clear view of financial exposure. Tracking this over time also shows whether more revenue is moving into or out of risk.

Looking at account counts alone can be misleading. Ten small customers becoming unhealthy may represent less commercial exposure than one major enterprise customer moving into a high-risk category.

Renewal forecast:

A renewal forecast should show how much ARR is due for renewal and how it is distributed across statuses such as likely to renew, uncertain, or at risk. This helps leadership spot periods where a large amount of revenue may require additional attention.

Churn risk by segment:

Breaking at-risk ARR down by segment, lifecycle stage, region, product, renewal period, or reason for risk helps identify whether churn is concentrated in a particular part of the customer base. This makes it easier to distinguish isolated account problems from broader systemic issues.

For example, the dashboard might reveal that enterprise customers account for a disproportionate share of at-risk ARR or that customers who experienced delayed onboarding are significantly more likely to become unhealthy later in the lifecycle.

Expansion pipeline:

An expansion view shows where upsell or cross-sell opportunities exist, the revenue attached to them, and their stage in the process. Signals such as strong adoption, growing usage, or customers approaching usage limits can help identify where expansion may be possible.

This gives leadership a more balanced view of the portfolio by showing both the revenue that may be lost and the revenue that could be gained.

Customer themes and sentiment:

Quantitative metrics can show leadership that portfolio performance is changing, but they do not always explain why.

Recurring complaints, feature requests, implementation issues, and shifts in sentiment across calls, emails, and support conversations can reveal patterns that may not be visible in quantitative data alone.

For example, leadership may discover that several at-risk customers are mentioning the same implementation issue or that sentiment around a particular product feature has deteriorated over the past quarter.

How to use this dashboard

A VP of Customer Success may see that NRR is stable while ARR at risk has increased over the past six weeks. Breaking the risk down by segment shows that most of it comes from enterprise customers renewing next quarter.

Usage remains healthy, but several of those customers are raising the same implementation issue in calls and support conversations. Rather than treating each account as a separate problem, leadership can identify a broader pattern, escalate the issue internally, and coordinate a retention plan across the affected accounts.

Velaris can help teams build this type of dashboard by combining quantitative signals such as customer health, product usage, renewals, and revenue with qualitative signals from calls, emails, support interactions, and sentiment analysis. 

2. Customer health dashboard

A Customer Health Dashboard is essential for monitoring the overall health of customer accounts, providing Customer Success Managers (CSMs) easy access to a holistic and real-time view of the customer base.

• Who uses it: CSMs, CS Managers, Heads of Customer Success
• How often: Daily or weekl
• Main question solved: How healthy is the customer portfolio, and what is changing?
• Key metrics: Health score, health movement, product usage, sentiment, support activity, renewal date, ARR at risk
• Best for: Prioritizing at-risk accounts and identifying the signals driving changes in customer health
• Typical actions: Investigate declining accounts, trigger outreach, adjust success plans, escalate risks

A good customer health dashboard includes the following elements:

Health score indicator:

A Customer Health Score is a composite metric that combines signals such as product usage, feature adoption, engagement, support activity, and sentiment into a summary of account health. Each signal can be weighted according to how strongly it reflects retention or customer value.

For example, a company might weight product usage at 30%, feature adoption at 20%, engagement at 20%, support activity at 15%, and sentiment at 15%. Scores are often grouped into categories such as healthy, watchlist, and at risk so teams can quickly scan the portfolio.

To make the score easy to interpret, many dashboards display it with a color-coded system. Healthy accounts may appear in green, accounts showing early warning signs may appear in yellow, and customers at high risk of churn may appear in red. 

Churn risk scoring:

Churn risk adds a forward-looking view by using behavioral and historical signals to identify customers that may be more likely to leave. Declining usage, reduced feature adoption, repeated support escalations, or worsening sentiment can all contribute to risk.

Used alongside the health score, churn risk helps teams distinguish accounts that are simply unhealthy from those showing signals that may require more urgent attention.

Usage trends:

Product usage data typically visualizes usage patterns using line charts or bar graphs to track engagement over time.

Key metrics may include login frequency, active user counts, feature adoption rates, session duration, or completion of important product workflows. 

When usage patterns decline, Customer Success teams can intervene with targeted education, feature walkthroughs, or strategic conversations to help customers unlock more value from the product.

Customer segmentation table:

Segmenting health by factors such as ARR, lifecycle stage, industry, or customer tier helps teams identify patterns across the portfolio. For example, a team may find that risk is concentrated among customers at a particular lifecycle stage or that a high-value segment is showing declining adoption.

How to use this dashboard

A CSM may notice that an account's health score has fallen from 78 to 61 in a month. Weekly active users are down 24%, adoption of a key feature has declined, sentiment has become negative, and the account renews in 47 days.

Reviewing the underlying signals reveals that a new team has taken over the product without being trained on the core workflow. The CSM can respond with targeted enablement and then track whether usage and health begin to recover.

This is what sets apart the dashboard from a simple health score: it shows both the change and the signals behind it.

Velaris, a highly rated software on G2, can help you create this dashboard by consolidating real-time data from product usage, customer interactions, and sentiment analysis. With Velaris’ customizable health scoring and predictive churn models, you can proactively identify at-risk accounts.

3. Individual customer health dashboard

An Individual Customer Health Dashboard gives CSMs a detailed view of a single account, combining health, usage, relationships, success progress, support activity, and commercial context in one place.

Who uses it: CSMs, Account Managers, CS Managers
How often: Daily or weekly, and before important customer meetings
Main question solved: What is happening within this customer account, and what should we do next?
Key metrics: Health score, health movement, product usage, feature adoption, stakeholder engagement, sentiment, support activity, success plan progress, renewal date, ARR
Best for: Understanding the drivers behind an individual customer's health and coordinating the next actions required to improve outcomes
Typical actions: Prepare for customer meetings, investigate health changes, engage stakeholders, address adoption gaps, update success plans, escalate risks, prepare for renewal

A good Individual Customer Health Dashboard includes the following elements:

Account overview and health status:

The account overview should provide the key context a CSM needs at a glance concisely, including ARR, lifecycle stage, renewal date, current health score, recent health movement, and relevant usage or adoption signals.

Showing health movement is important because the direction of travel often matters as much as the current score. A customer improving from 48 to 65 presents a very different situation from one declining from 82 to 65.

Stakeholder engagement and relationship coverage:

The dashboard should show the people involved in the account, such as the product champion, economic buyer, executive sponsor, administrators, and key users.

Recent engagement, stakeholder coverage, and changes in sentiment can reveal relationship risks that product usage alone may miss. 

For example, an account may still have strong adoption while becoming more vulnerable because its champion has disengaged or left the business.

Customer goals and success plan progress:

An account can appear active without necessarily achieving the outcomes it originally set out to achieve.

The dashboard should therefore show agreed objectives, success metrics, milestones, completed actions, and overdue commitments. This helps the CSM assess whether the customer is progressing toward value rather than relying on activity metrics alone.

Support activity and customer sentiment:

Support data can provide important context around account health. Open tickets, recurring issues, escalations, and changes in sentiment can help CSMs distinguish routine support activity from problems that may be affecting the wider relationship.

For example, several minor tickets may not indicate meaningful risk, while repeated issues around the same workflow combined with worsening sentiment may require proactive follow-up.

Commercial and renewal context:

The dashboard should include ARR, contract value, renewal date, days until renewal, renewal status, expansion opportunities, and any known commercial risks.

This context helps the CSM understand the urgency and potential business impact of changes in account health. A declining account that renews in ten months may require a different response from an equally unhealthy account with a major renewal approaching in 45 days.

Using these elements together gives the CSM a complete picture of the account. Instead of reviewing product analytics, CRM records, support tickets, meeting notes, and renewal information separately, they can see how these signals relate to one another and identify what requires attention.

How to use this dashboard

A CSM preparing for a quarterly business review sees that a $150,000 ARR account's health score has fallen from 86 to 74 over six weeks.

Usage has declined, a key workflow is being adopted less frequently, the main champion has stopped attending meetings, and a success-plan milestone is overdue. The account renews in 96 days.

Looking across these signals, the CSM discovers that the original champion has changed roles and a new team has taken over without sufficient training. They update the stakeholder map, schedule enablement for the new users, and revise the success plan before the renewal discussion begins.

The value of the dashboard is that it brings these signals together, helping the CSM understand not only that the account has changed, but what is driving the change.

Velaris can help teams create this account-level view by bringing together customer health, product usage, stakeholder interactions, support activity, sentiment, lifecycle data, and commercial information in one place. 

This gives CSMs the context they need to investigate changes in individual accounts, prepare for customer conversations, and take action before emerging risks become larger problems.

4. Onboarding progress dashboard

An Onboarding Progress Dashboard is indispensable for showing how new customers are moving through implementation, where they are getting stuck, and how quickly they are reaching first value.

• Who uses it: Onboarding Managers, Implementation Managers, CSMs, CS Managers
• How often: Daily or weekly
• Main question solved: Which customers are progressing through onboarding, and where are they getting stuck?
• Key metrics: Onboarding stage, time to value, milestone completion, agreed go-live date, overdue tasks, product activation, customer engagement
• Best for: Keeping implementations on track and identifying customers at risk of delayed onboarding
• Typical actions: Follow up on overdue milestones, remove blockers, reallocate implementation resources, escalate delayed accounts, update onboarding plans

These components might be found on an onboarding progress dashboard:

Milestone completion tracker:

The dashboard should show progress across key onboarding stages such as account setup, integrations, training, first login, and activation of important features.

Progress bars, checklists, or completion percentages make it easy to see which customers are moving forward and which have stalled.

For example, a CSM might quickly see that a customer has completed account setup and training but has not yet activated a core feature. 

Time-to-completion metrics:

Tracking how long customers take to complete onboarding milestones helps teams identify bottlenecks.

Useful measures include time to first login, integration completion, first key feature activation, and overall time to first value. If customers are consistently bottlenecked at the same stage, the issue may point to technical friction, unclear documentation, or gaps in the onboarding process.

Customer feedback scores:

Feedback collected during onboarding can help explain why customers are struggling.

Survey responses, milestone feedback, CSAT, or sentiment signals can be tied to specific onboarding stages to reveal where customers are becoming confused or frustrated.

Overdue tasks list:

The dashboard should highlight overdue tasks and customers that have fallen behind schedule.

Adding context such as account value, go-live date, or current onboarding stage helps teams decide which delays need the most immediate attention.

If a high-value customer has not completed product configuration within the expected timeline, the dashboard can flag this account for immediate follow-up. 

Progress heatmap by segment:

Segmenting onboarding performance by customer type, company size, product package, or region can reveal patterns that are not visible at the account level.

For example, enterprise customers may take longer to complete onboarding because of more complex integrations, while smaller customers may reach activation more quickly.

You can track and visualize progress across onboarding milestones in real-time with customer success platforms like Velaris. With features like task automation, milestone tracking, and customer sentiment integration, you can ensure that no customer falls behind.

How to use this dashboard

An Onboarding Manager may see that an enterprise customer is only 45% through onboarding with less than two weeks until the agreed go-live date.

The dashboard shows that account setup and training are complete, but the integration milestone is eight days overdue and a core feature has not yet been activated. Recent onboarding feedback has also become more negative.

The team discovers that the customer is waiting on an internal technical stakeholder. The Onboarding Manager can escalate the blocker, bring in implementation support, and adjust the remaining milestones before the go-live date is missed.

5. Engagement and usage dashboard

An Engagement and Usage Dashboard shows how customers are using the product over time and whether they are adopting the features that drive value.

• Who uses it: CSMs, CS Managers, Product teams, Heads of Customer Success
• How often: Weekly or monthly
• Main question solved: Are customers actively using the product and adopting the features that drive value?
• Key metrics: Active users, login frequency, feature adoption, usage frequency, account penetration, engagement trends, inactive users
• Best for: Spotting disengagement, identifying adoption gaps, and understanding how different users within an account interact with the product
• Typical actions: Run adoption campaigns, contact disengaged users, recommend relevant features, schedule training, investigate declining usage 

Feature adoption metrics:

Feature adoption shows which parts of the product customers are actually using and how often.

Tracking active users by feature, usage frequency, and adoption of key capabilities helps teams identify features that are delivering value and those that customers may be overlooking.

For example, if a core feature designed to drive value is only being used by a small percentage of customers, it signals a potential adoption gap. CSMs can use this insight to launch targeted training sessions, product walkthroughs, or enablement campaigns to improve adoption.

Engagement trends over time:

Usage should be tracked over time rather than viewed as a single snapshot.

Trends in active users, login frequency, session activity, and critical workflows can show whether engagement is improving, stable, or declining. Gradual changes are especially useful for identifying early signs of disengagement.

A slow drop in usage can often indicate emerging dissatisfaction or a loss of perceived value. When these patterns are identified early, CSMs can step in with guidance, check-ins, or product recommendations to help customers re-engage.

User-level engagement:

Account-level usage can hide concentration risk.

For example, an account may look healthy overall even if most activity comes from a small number of power users. 

Looking at active users as a percentage of licensed seats, usage by user, and adoption across teams helps CSMs see whether engagement is broad or dependent on a few individuals.

Underutilized features report:

An underutilized features view highlights capabilities that customers are not using despite their potential value.

This can help teams identify opportunities for targeted training, enablement, or product education rather than simply trying to increase overall usage.

For instance, if mid-market customers rarely use an advanced analytics feature that enterprise clients rely on heavily, it may indicate that the feature’s value is not being clearly communicated during onboarding or ongoing training.

These insights allow Customer Success teams to develop targeted enablement programs that introduce customers to features they may not yet realize could benefit them.

Cohort-based usage analysis:

Comparing usage across customer groups can reveal different adoption patterns by segment, company size, lifecycle stage, or product package.

For example, enterprise customers may adopt more features but spread usage unevenly across teams, while smaller customers may activate quickly but use fewer capabilities over time.

Heatmap of feature usage:

Feature usage heatmaps provide a quick visual representation of where customers spend the most time within the product. These heatmaps typically highlight which features receive the most interaction and which areas receive little attention.

By visualizing activity density, CSMs can quickly identify which workflows customers rely on the most and which parts of the product may be overlooked.

High-traffic areas often represent features delivering the most value, while low-usage areas may require better documentation, onboarding guidance, or product improvements.

Velaris’s advanced analytics and heatmap features make it easy to identify opportunities to drive feature adoption. Additionally, you can automate reports and set up alerts to ensure you stay informed about changing engagement trends.

How to use this dashboard

A CSM notices that monthly active users at a large account have fallen from 62 to 41 over two months.

The dashboard shows that usage is becoming concentrated among a small group of power users while most licensed users are barely engaging with the product.

Rather than focusing only on total usage, the CSM can identify the teams and users with the lowest adoption, run targeted training, and work with the customer to broaden usage across more workflows.

6. CSM action and priorities dashboard

A CSM Action and Priorities Dashboard turns customer signals into a clear list of accounts and actions that need attention now.

Who uses it: CSMs, CS Managers
How often: Daily
Main question solved: Which customers need my attention today, and what should I do next?
Key metrics: Accounts needing attention, health movement, ARR at risk, upcoming renewals, overdue tasks, customer engagement, unresolved risks, recent alerts, expansion signals
Best for: Prioritizing daily CSM activity and making sure important customer risks and opportunities do not get overlooked
Typical actions: Contact at-risk customers, follow up on commitments, prepare for renewals, escalate issues, schedule training, update success plans, engage missing stakeholders, investigate expansion opportunities

A good CSM Action and Priorities Dashboard includes the following elements:

Accounts needing attention:

The dashboard should surface accounts that require action and explain why they have been prioritized.

Triggers might include declining health, falling usage, negative sentiment, an approaching renewal, an overdue onboarding milestone, a support escalation, or a disengaged stakeholder.

Each account should include enough context to judge urgency, such as health movement, ARR, renewal date, and the main risk reason. 

A large account renewing next month with declining usage, for example, may deserve more immediate attention than a smaller account showing a temporary dip several months from renewal.

Priority and risk reasons:

Not every customer requiring attention has the same level of urgency. A useful action dashboard should therefore help CSMs distinguish between different types of risk and understand what is driving each alert. 

Accounts may be prioritized based on factors such as the severity of a health decline, revenue at risk, proximity to renewal, unresolved customer issues, or the number of negative signals appearing at the same time.

The dashboard should also display the main reason each account has been flagged. Labels such as “usage declining,” or “onboarding delayed” make it easier for the CSM to understand the problem at a glance.

Health changes and new signals:

The dashboard should emphasize what has changed since the CSM last reviewed the portfolio.

A sudden drop in health, declining feature adoption, worsening sentiment, or a new support escalation may be more actionable than a score that has remained unchanged for months. Approaching renewals and expansion signals can also trigger attention.

For example, an account may have moved from healthy to watchlist because product usage has fallen, a key feature is no longer being used, and sentiment in the latest customer call has become more negative.

Overdue tasks and customer commitments:

The dashboard should bring together overdue tasks, missed milestones, follow-ups, and commitments made to customers.

These may include scheduling training, following up with Product, resolving an escalation, completing a success-plan milestone, or preparing for a customer meeting. Linking each task to the account and signal that created it gives CSMs context around why the action matters.

Alerts and recommended next actions:

To support proactive Customer Success, dashboards often include automated alerts and notifications. These alerts trigger when specific thresholds are met, such as a sudden drop in product usage, a spike in support tickets, negative customer sentiment, or a health score falling below a defined threshold.

Instead of manually monitoring every account, CSMs receive notifications that prompt immediate follow-up. This ensures that no critical changes in customer health go unnoticed.

Daily task and follow-up view:

The dashboard can also provide a consolidated list of the actions the CSM needs to complete that day or week.

This might include customer meetings to prepare for, overdue follow-ups, accounts requiring outreach, renewal planning tasks, unresolved escalations, or success plan milestones that need attention. And each task can be connected to the relevant account and the signal that created it. 

For example, instead of displaying “Contact Acme Corp,” the dashboard might show that the task was triggered because the customer's health score fell 14 points following declining usage and negative sentiment.

How to use this dashboard

A CSM managing 65 customers may open the dashboard and see seven accounts requiring attention.

One is a $120,000 ARR customer whose health score has fallen from 81 to 63, usage is down, its main champion has disengaged, and renewal is 58 days away. Another has an onboarding milestone nine days overdue, while a third is approaching its licensed user limit and may present an expansion opportunity.

Instead of reviewing the entire portfolio, the CSM can immediately prioritize the renewal risk, remove the onboarding blocker, and investigate the expansion opportunity.

The value of an action dashboard is that it translates customer signals into a focused set of actions rather than simply reporting what is happening.

Velaris can help teams create this type of action-oriented view by bringing together health changes, product usage, customer conversations, sentiment, lifecycle milestones, renewal data, tasks, and other customer signals. 

7. Renewal and upsell dashboard

A Renewal and Upsell Dashboard helps Customer Success teams protect recurring revenue while identifying opportunities to grow existing accounts.

• Who uses it: CSMs, Account Managers, CS Managers, Revenue leaders
• How often: Weekly
• Main question solved: Which renewals are at risk, and where are there opportunities to grow existing accounts?
• Key metrics: Renewal date, renewable ARR, renewal forecast, health score, churn risk, expansion opportunities, product adoption, contract value
• Best for: Managing upcoming renewals while identifying expansion opportunities across the customer base
• Typical actions: Build renewal plans, escalate high-risk accounts, engage decision-makers, identify upsell opportunities, coordinate with Sales or Account Management 

Contract renewal tracker:

The dashboard should show upcoming renewals, contract value, renewal stage, account health, and owner.

Viewing renewals across 30-, 60-, or 90-day windows helps teams identify accounts that need attention early and avoid last-minute surprises.

Upsell and cross-sell opportunities table:

The dashboard should highlight accounts showing signals of growth potential, such as high adoption, increasing usage, additional users, or interest in capabilities beyond the current package.

Adding estimated revenue impact and opportunity stage helps teams prioritize which expansion conversations are worth pursuing.

For instance, accounts that have reached high adoption levels, added more users, or expressed interest in additional capabilities may be strong candidates for upsell conversations.

Customer Lifetime Value (CLV) insights:

Customer Lifetime Value (CLV) analysis can help teams distinguish between accounts based on their long-term commercial value.

A high-value customer approaching renewal, for example, may warrant greater strategic attention or a broader conversation about expansion and long-term partnership.

Renewal probability scores:

Advanced renewal dashboards also incorporate renewal probability scores that estimate the likelihood of a customer renewing their contract. These scores combine signals such as product adoption, engagement, support history, sentiment, and customer health to estimate how likely an account is to renew.

Used alongside the renewal date and contract value, this helps teams identify accounts that may need intervention before the formal renewal process begins.

Renewal reminders and alerts help ensure that no critical timelines are missed, while detailed customer insights enable CSMs to have meaningful conversations with clients about expanding their partnership. 

Velaris streamlines renewal and upsell management by providing a centralized dashboard for tracking contract dates, revenue metrics, and upsell opportunities. Its predictive analytics tools also allow you to assess renewal probabilities and CLV. 

How to use this dashboard

A $180,000 ARR account may be due to renew in 72 days. Its overall health remains positive, but usage has flattened and customer sentiment has become less positive.

At the same time, the customer has begun using a feature available only in a higher-tier package, while a key stakeholder has raised concerns about budget.

The CSM can use this context to build a renewal plan around the value already being delivered, engage the economic buyer early, and assess whether the new feature usage creates a credible expansion opportunity.

8. Support interaction dashboard 

A Support Interaction Dashboard helps Customer Success teams understand whether support issues are creating friction that could affect customer health, satisfaction, or retention.

• Who uses it: CSMs, Support Managers, CS Managers, Heads of Customer Success
• How often: Daily or weekly
• Main question solved: Which customers are experiencing support problems, and are those issues affecting the wider relationship?
• Key metrics: Ticket volume, open tickets, resolution time, escalations, ticket severity, recurring issues, CSAT, sentiment
• Best for: Identifying customers experiencing persistent support friction and understanding how service issues affect customer health
• Typical actions: Escalate critical tickets, investigate recurring issues, coordinate with Support, proactively contact affected customers, track resolution and sentiment 

Ticket volume and trends:

Ticket trends show whether support demand is increasing and where problems are concentrated.

Breaking tickets down by issue type, severity, or product area can reveal spikes around a particular feature or workflow that may indicate a bug, confusing experience, or documentation gap.

For example, teams might track high-priority incidents separately from routine questions or compare tickets submitted via chat, email, or help center forms.

Resolution time metrics:

Response and resolution times help teams understand whether customer issues are being addressed quickly enough.

Measures such as time to first response, average resolution time, and performance against SLAs are especially useful when viewed alongside ticket severity and customer impact.

Delays in resolving high-priority tickets can negatively impact customer satisfaction, making this metric essential for maintaining a strong support experience.

Customer Satisfaction (CSAT) Scores:

Customer Satisfaction (CSAT) provides a direct measure of how customers rate support interactions.

These scores are often displayed as a single aggregate metric, but they can also be segmented by support agent, issue category, or customer segment. For example, teams might compare satisfaction levels between onboarding-related support tickets and technical bug reports.

Recurring issue analysis:

Grouping tickets by topic helps teams identify problems that repeatedly affect customers. Support tickets have categories like product bugs, configuration issues, onboarding questions, or feature requests.

If multiple tickets relate to the same workflow, feature, or configuration issue, Customer Success can work with Support, Product, or Enablement to address the underlying cause rather than treating each ticket in isolation.

Sentiment analysis of interactions:

Many dashboards also incorporate sentiment analysis of customer conversations. Natural language processing tools can analyze support interactions to determine whether customer tone is positive, neutral, or negative.

Even if a ticket is resolved quickly, negative sentiment within the conversation may indicate frustration with the product experience.

Agent performance metrics:

Finally, support dashboards can include agent performance metrics to help teams understand how effectively support staff are handling customer requests.

These metrics may include average resolution time per agent, ticket closure rates, number of tickets handled, and customer satisfaction scores associated with each support representative.

By reviewing these metrics, support leaders can identify top-performing agents, detect potential training opportunities, and ensure that workloads are distributed effectively across the team.

How to use this dashboard

A CSM notices that a strategic account has opened 14 support tickets in the past month, up from three the month before.

Most relate to the same reporting workflow. Resolution times remain within SLA, but CSAT has fallen and sentiment across recent conversations has become more negative.

The issue is therefore not simply support speed; repeated friction is beginning to affect the customer relationship. The CSM can escalate the pattern to Support and Product, contact the customer proactively, and monitor whether ticket volume, CSAT, and sentiment improve.

The value of this dashboard is that it connects support activity with customer impact rather than treating tickets as operational data alone.

How to design Customer Success dashboards by company size

The right Customer Success dashboard depends on the size of the customer base, the complexity of the product, and how the CS team is structured.

As companies scale, dashboards typically evolve from a simple consolidated view into more segmented, revenue-aware, and role-specific systems.

Startup and SMB Customer Success dashboards

Smaller teams usually benefit from simplicity. If one CSM manages a relatively small portfolio, a single dashboard can often provide enough visibility to identify risks, track progress, and decide where attention is needed.

At this stage, focus on a small number of signals that consistently lead to action rather than adding unnecessary charts, filters, or drill-downs

Mid-sized Customer Success dashboards

As the customer base grows, reviewing accounts individually becomes less practical.

Dashboards need to support both CSMs managing their own portfolios and managers looking for patterns across teams. 

Segmentation and revenue context become more important, helping teams compare customer tiers, lifecycle stages, regions, products, or CSM portfolios and see where risk or opportunity is concentrated.

The dashboard therefore becomes both an account-management tool and a way for managers to allocate resources and understand portfolio performance.

Enterprise Customer Success dashboards

Enterprise customers often span multiple business units, regions, products, teams, and stakeholder groups, so dashboards need to reflect that complexity.

CSMs should be able to move from a parent-account view into subsidiaries, teams, products, or stakeholder groups to spot risks that may be hidden at the overall account level. For example, the parent account may look healthy while one business unit has low adoption or a key executive sponsor has disengaged.

Enterprise dashboards should also show stakeholder coverage across champions, economic buyers, executive sponsors, administrators, and users.

Different roles may need different views of the same data: CSMs need detailed account context, while leadership needs a more aggregated view of portfolio performance.

A good rule is to add complexity only when it helps someone make a decision they could not make easily before. 

If a metric does not change how a CSM prioritizes an account, how a manager allocates resources, or how leadership understands retention and growth, it may not need to be on the dashboard.

To learn more about best practices for building Customer Success Dashboard, see our guide here.

How to build customer success dashboards in Velaris

Velaris enables effective Customer Success  by combining product usage data, lifecycle visibility, and Voice of Customer (VoC) insights into unified dashboards that help Customer Success teams act earlier and with more context.

Building customer success dashboards in Velaris vs general purpose AI models

Velaris takes a more Customer Success-specific approach. Instead of connecting a general-purpose AI model directly to a collection of raw systems each time you want to analyze something, Velaris maintains a shared customer context layer that connects accounts, stakeholders, conversations, usage, support activity, health, commercial data, and other post-sales signals.

Teams can then use Copilot to ask questions about that data in natural language and generate dashboards and reports without having to manually recreate the customer relationships or metric context for every analysis.

For example, instead of simply asking which accounts have declining usage, you could create a dashboard showing at-risk ARR among customers renewing this quarter, then break it down by lifecycle stage, health, usage trend, sentiment, or recurring customer issue.

The difference is that the AI is working from a Customer Success-specific context layer rather than treating each CRM record, call transcript, ticket, and usage event as an independent piece of data.

General-purpose tools such as Claude and ChatGPT can therefore be very useful for experimentation and one-off analysis. 

Velaris becomes more useful when the goal is to make AI-powered dashboards part of the team's ongoing Customer Success workflow, with a shared understanding of customers that can also power health scores, Copilot, reporting, and AI agents.

Tailoring dashboard views by audience

The same customer success dashboard should not look identical for everyone. A CSM checking accounts every morning needs a very different view from an executive reviewing portfolio performance at the end of the month.

For CSMs, prioritize account-level information that leads directly to action, such as at-risk flags, overdue tasks, upcoming renewals, recent changes in health, and recommended next steps. We want dashboards that help them quickly answer, “Which customers need my attention today?”

Leadership needs a more aggregated view. Portfolio health by segment, NRR trends, renewal pipeline, churn risk, and team performance are more useful than individual account details because they help leaders understand where performance is changing and where resources may need to shift.

Role-based permissions can keep each view focused by limiting access to the data and accounts relevant to that person's responsibilities. 

Just as importantly, avoid copying the same widgets into every dashboard and rearranging them. Tailor the metrics themselves to the decisions each audience needs to make.

Incorporating Voice of Customer and qualitative insights

Usage and operational data can show what customers are doing, but it does not always explain how they feel about their experience or why their behavior is changing. This is where Voice of Customer (VoC) and qualitative analysis become valuable.

Velaris dashboards can incorporate feedback signals from sources such as support conversations, surveys, emails, and customer calls. 

AI-powered analysis can save you the time of manually reviewing these interactions one by one, and instead categorize them by sentiment, topic, and recurring theme.

Dashboards can then surface qualitative insights such as:

• Sentiment trends across accounts or customer segments
• Common topics raised in customer conversations
• Emerging issues related to particular features or workflows
• Changes in the frequency of specific customer concerns over time

These signals provide context that quantitative metrics alone may miss. For example, a customer may appear healthy based on product usage while sentiment across recent calls and emails is becoming increasingly negative. 

Looking at both signals together can help Customer Success teams identify emerging risks earlier.

Qualitative analysis can also reveal patterns across the wider customer base. If several customers begin expressing frustration with the same onboarding workflow or product feature, teams can identify the issue as a broader trend rather than treating each conversation as an isolated problem.

This gives Customer Success teams a clearer understanding of what is driving customer behavior and can help inform actions such as updating onboarding playbooks, improving documentation, escalating recurring product issues, or proactively contacting affected customers.

Conclusion

Customer Success dashboards are essential tools for CSMs, providing a consolidated view of key metrics that drive customer satisfaction and business growth. 

By tracking metrics like customer health score, churn rate, customer lifetime value (CLTV), net promoter score (NPS), and product usage, Customer Success Managers can make informed decisions and proactively manage customer relationships.

Effective dashboards align metrics with business goals, use integrated Customer Success software like Velaris, a highly rated software on G2, and offer intuitive design and real-time insights. 

Book a demo today to explore Velaris and see how it can help you build an effective Customer Success dashboard, streamline your processes, and drive Customer Success.