Feature · Project Dashboard Examples

Project dashboard examples pulled from production teams, not slide decks.

Sprint burndown, capacity utilization, backlog health, blocker aging, release readiness, roadmap confidence, cross-project rollups, and revenue influence. Every chart lives on the shared record, respects the permission model, and ships inside the native dashboard builder with no BI tool required.

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The eight dashboards production teams actually run

Burndown, capacity, backlog, blockers, release, roadmap, rollup, revenue.

Project dashboards fall into two groups. The first group looks great in a vendor demo and gets ignored by week two. The second group answers the specific questions project leads, program managers, and executives ask every week. These are the eight dashboards production teams actually keep open: sprint burndown, capacity utilization, backlog health, blocker aging, release readiness, roadmap confidence, cross-project rollup, and revenue influence. Strkr ships every one as a native dashboard template on the shared record.

Sprint burndown

Points remaining vs ideal line, by day.

The sprint burndown shows total committed points on day one dropping to zero by day fourteen (or whatever the sprint cadence configures). The ideal line sits as a dotted overlay. The real line shows how the team actually tracks. A sprint running above the ideal line surfaces the risk mid-sprint rather than at the retrospective.

Capacity utilization

Team load by day, overallocation flagged.

The capacity view shows each team member on a horizontal row with assigned work stacked by day. Overallocation (more hours assigned than available) renders in red. OOO and PTO ranges render as gaps. The project lead sees the real capacity picture and reassigns work before the overallocation turns into a missed deadline.

Backlog health

Groomed vs ungroomed vs ready for sprint.

The backlog health dashboard shows the backlog stacked by state: ungroomed, in grooming, ready for sprint, in sprint, done. A healthy backlog carries two sprints worth of ready-for-sprint work. The dashboard flags when the ready pool drops below the threshold so grooming starts before the next sprint planning session.

Blocker aging

How long blockers have been blocked.

The blocker aging view shows every open blocker with its age, assignee, and dependency. Blockers over three days surface at the top. Blockers over seven days escalate. The project lead works the blocker queue first because unblocking work is the single highest-leverage task in a sprint.

Release readiness

Scope, bugs, QA status, go-live risk.

The release readiness dashboard tracks the scoped feature list against completion status, open bug count by severity, QA pass rate, documentation status, and go-live risk assessment. The release manager runs the weekly release standing meeting from this dashboard. Go-no-go decisions happen on real data.

Roadmap confidence

Dates with error bars, not fictional precision.

The roadmap view shows the next three quarters of planned work with confidence intervals rather than fictional single-date commitments. A feature carrying a two-week delivery range renders with the range visible. The exec reviewing the roadmap sees the real variance in the plan rather than a false-precision picture.

Cross-project rollup

Program-level view across every active project.

The cross-project rollup shows every active project in the program with its current health, points committed vs completed, blocker count, and release readiness. The program manager runs the program review from the rollup and dives into the specific project only when the summary flags an issue.

Revenue influence

Which projects source which pipeline.

For project work that ties to revenue (customer implementation projects, product features that unlock pricing changes, services engagements), the revenue influence dashboard shows the pipeline sourced or expanded by project. The exec sees which projects actually move the business line and prioritizes accordingly.

Retrospective trends

What the team learns, sprint over sprint.

The retro trends dashboard tracks the themes from sprint retrospectives over time: what went well, what to improve, action items committed. The trend view shows which improvements the team actually acted on and which keep recurring. The pattern reveals systemic issues that no single retrospective would surface.

Burndown and velocity dashboards in detail

The sprint metrics that answer the mid-sprint question.

The burndown and velocity family of dashboards is where sprint teams spend most of their dashboard time. Done well, these dashboards answer the mid-sprint question: will we finish, and if not, what needs to change. Done poorly, they generate noise. These are the specific sprint dashboard examples Strkr ships as templates with the specific metrics and the specific interpretations that make them useful.

Sprint burndown by points

The classic chart, with the right overlays.

Points committed on day one as the starting value. Points remaining each day as the running line. Ideal line as a dotted overlay from start to end. Scope-change markers where points enter or leave the sprint mid-flight. The chart answers "are we on track" at a glance and "what changed" with the markers.

Burndown by issue count

For teams that do not use points.

Not every team runs on points. The issue-count burndown works the same way with raw issue count instead of story points. The ideal line, the real line, and the scope-change markers all render. Teams that use hour estimates or t-shirt sizes get a comparable view with their chosen unit.

Velocity trend

Points completed per sprint, rolling average.

The velocity trend shows points completed each sprint with a three-sprint rolling average. The team sees whether velocity is stable, climbing, or dropping. A dropping velocity trend surfaces a staffing or scope issue that would otherwise sit until the next quarterly review.

Commit vs completed

How much the team overcommits per sprint.

For each sprint, the commit-vs-completed view shows points committed on sprint start against points completed on sprint end. The gap is overcommit. A team that consistently commits 40 points and completes 32 is a team with a planning calibration issue. The view makes the calibration visible and actionable.

By assignee burndown

Who is behind, who is clear.

The per-assignee burndown shows each team member on a separate line within the sprint. A sprint where one assignee is dragging the burndown surfaces the person who needs help or needs reassignment. The project lead has a specific name rather than a vague feeling about who is behind.

Blocked vs active

What portion of in-progress work is blocked.

The blocked-vs-active split shows the in-progress work stacked by state. A sprint with 30 percent of in-progress work blocked is a sprint with a dependency problem. The split surfaces the problem on day three rather than at the retrospective on day fourteen.

Cycle time

Days from in-progress to done.

Cycle time measures the average days from when an issue enters in-progress to when it moves to done. Trending down means the team is executing faster. Trending up means something is slowing down. The cycle-time view surfaces the trend over sprints with the median, p90, and p99 all visible.

Flow efficiency

Active time divided by total cycle time.

Flow efficiency is the ratio of active time (someone actually working on the issue) to total cycle time (from start to done). An efficiency of 20 percent means the issue sits in wait states 80 percent of the time. The metric surfaces the hidden bottlenecks that cycle time alone misses.

Spillover trend

How much sprint work keeps carrying over.

Spillover is the portion of a sprint commit that moves into the next sprint. A healthy team spillovers under 10 percent. A team spilling 30 percent sprint over sprint is a team with planning or scope issues. The trend surfaces the pattern over quarters so the team acts on it rather than normalizing it.

Program and portfolio dashboards

The program manager and executive views that span projects.

Program managers and executives need project visibility at a higher altitude than the sprint board. The useful dashboards at that altitude are the cross-project rollups, the roadmap confidence views, and the revenue influence attributions. These are the specific examples Strkr ships for program-level and exec-level audiences with the right level of detail for each.

Portfolio health

Every active project with a status chip.

The portfolio health view lists every active project in the program with its status chip (green, yellow, red), its driver, its target date, and its current blocker if any. The program manager runs the Monday standup from this view. A yellow or red chip is the drill-down signal to the specific project.

Date confidence

Target dates with the real variance.

For every project in the portfolio, the date confidence view shows the target date with a confidence interval based on past velocity and current scope. A project with high confidence shows a tight range. A project with low confidence shows a wide range. The exec reviewing the portfolio sees where the real risk sits.

Resource allocation

Who is working on what, across projects.

The resource allocation view shows each team member on a horizontal row with their work stacked by project. Over-allocation (someone split across too many projects) renders in red. Under-allocation renders in gray. The program manager rebalances allocation before the next sprint rather than after a missed deadline.

Dependency map

Cross-project blockers, in picture form.

The dependency map renders cross-project blockers as a graph. A node is a project. An edge is a dependency. The map surfaces the critical path through the portfolio and the specific dependencies that would delay multiple downstream projects if they slip. The program manager prioritizes the critical path first.

Scope creep

Points added to projects after kickoff.

The scope creep view tracks points added to each project after the initial kickoff estimate. A project with 40 percent scope creep is a project where the plan drifted significantly. The pattern of scope creep across the portfolio informs the next planning cycle so estimates include a realistic contingency.

Milestone timeline

Major milestones across projects, on one line.

The milestone timeline shows every major milestone across every project on a single horizontal timeline. The exec sees what ships this quarter and what ships next quarter in one view. Overlapping milestones (two projects shipping the same week) surface for coordination.

Budget utilization

Spend vs budget by project.

For projects with budget tracking, the budget utilization view shows spend vs budget by project with the run-rate projection. A project trending over budget surfaces for the executive sponsor before the overrun becomes a quarterly report embarrassment.

Launch readiness

Marketing, sales, support readiness per launch.

For projects that end in a go-to-market launch, the launch readiness view tracks the marketing readiness, sales readiness, and support readiness alongside the product readiness. A launch where marketing is red while product is green surfaces the real blocker for the launch date decision.

Exec summary

One slide a week on the whole program.

The exec summary is a weekly dashboard view designed for the ten-minute program check-in. Portfolio health chips, the three biggest risks, the three biggest wins, and the critical-path dependency map. Everything the exec needs to know in one view, with the drill-down one click away for anything that needs more context.

Dashboards that cross CRM and projects

The views that only shared-record stacks can produce.

The dashboards that connect project work to revenue outcomes are the dashboards most teams never build because the data sits across two tools. Strkr runs CRM and Projects on the same shared record, so cross-tool dashboards become routine rather than exceptional. These are the specific examples that only work when the data lives on one record store.

Project to account

Every project with its linked account.

A customer implementation project links to the customer account. The dashboard shows every project with the account health, the account ARR, the open opportunities, and the renewal date. A project running red on an account approaching renewal surfaces the specific risk the CSM team needs to work.

Implementation health

Which customers are stuck in implementation.

The implementation health view shows every active customer implementation project with the days-since-kickoff, the milestones completed, the milestones at risk, and the customer sponsor engagement signal. Implementations stalling turn into churn risks, and the view surfaces the pattern before the renewal conversation.

Services revenue

Billable hours vs forecast by engagement.

For services teams running billable engagements, the services revenue dashboard shows actual billable hours vs the forecast per engagement. An engagement running over the hour forecast surfaces for scope conversation. An engagement running under might indicate under-billing or scope reduction.

Feature to pipeline

Which features unlocked which deals.

For product teams tracking feature shipped against deals won, the feature-to-pipeline view ties the feature releases to the opportunities that cited the feature in the sales cycle. The product team sees which features actually sold deals rather than guessing from launch metrics.

Churn drivers

Project issues on churned accounts.

For churned accounts, the churn driver view analyzes the project history on the account: implementation delays, feature gaps raised, support escalations into project tickets. The pattern across churned accounts surfaces the systemic issues that drive churn, which no single account post-mortem would reveal.

Expansion opportunity

Projects that opened new buying centers.

For accounts where a project opens a new buying center (new department, new region, new product line), the expansion opportunity view tracks the project outcomes against subsequent pipeline expansion. The account team sees which project patterns actually create expansion and designs the next engagement accordingly.

NPS by implementation

Which customer onboardings produced promoters.

For customers with post-implementation NPS surveys, the view ties NPS scores to the implementation team, the implementation duration, and the first-value milestone timing. The pattern reveals which implementation playbook produces promoters and which does not, informing the ongoing playbook refinement.

Cross-functional team view

A rep, a CSM, an engineer, one account view.

For strategic accounts, the cross-functional team view shows every open touchpoint across the sales rep, the CSM, and the engineering team working on account-specific features. The exec sponsor sees the whole relationship surface rather than reading three separate reports.

Launch to adoption

From feature release to customer usage.

The launch-to-adoption view tracks feature releases through the customer usage curve. A feature shipped two months ago with low adoption surfaces for product marketing or in-app education. A feature with high adoption on a specific segment surfaces for sales to pitch into similar accounts.

Building and sharing dashboards in Strkr

The mechanics that make the dashboard a team artifact.

Dashboards earn their keep by being easy to build, easy to share, easy to schedule, and easy to update. Strkr builds the dashboard surface on the shared record with a visual builder, template library, permission-aware sharing, scheduled delivery, and open-API export. These are the specific mechanics that turn a dashboard from a one-off chart into a working team artifact.

Visual builder

Pick the object, pick the field, pick the chart.

The visual builder lets admins pick the object (issue, project, release, account, deal), the fields to include, the filters to apply, the grouping to use, and the chart type. The output renders live in the preview pane. No SQL, no formula language. The build cycle for a new dashboard is minutes, not days.

Chart types

Burndown, bar, line, pie, table, heatmap, timeline.

The builder ships every chart type production dashboards actually use: burndown, bar, column, line, area, pie, donut, scatter, table, heatmap, timeline, Gantt, and funnel. Each chart type carries sensible defaults so the admin picks the type and the output looks right without tuning.

Template library

The nine project dashboards, ready to clone.

The template library ships the nine project dashboard templates with the right objects, fields, filters, and charts preconfigured. Clone a template, retarget the project filter to the current project or portfolio, and the dashboard renders with the real data in seconds. Starting from a template beats starting from a blank page.

Permission-aware sharing

Share with roles, teams, or specific users.

Dashboards share with roles (every project manager), teams (the services team), or specific users (the exec sponsor on an account). The dashboard respects the viewer permissions, so a shared dashboard shows each viewer only the records they have access to. One dashboard definition, personalized views per viewer.

Scheduled delivery

A PDF to the inbox every Monday at 8.

Any dashboard can be scheduled as a snapshot delivered to inbox or Slack on a configured cadence. The weekly program review ships as a Monday morning PDF to the exec stakeholders. The sprint retro ships as a Friday afternoon snapshot to the engineering team. The dashboard becomes a push rather than a pull surface.

Pinned dashboards

Each role lands on the dashboard that matters.

Admins can pin a dashboard to a role so new users land on the right view on first login. The project manager lands on the portfolio health view. The sprint lead lands on the burndown. The exec lands on the exec summary. The pinning reduces the cold-start friction for new users.

Drill-down

Every chart element clicks to the record list.

Every bar, pie slice, timeline block, and table cell on a dashboard clicks through to the underlying record list. The project manager sees a blocker count on the dashboard, clicks the number, and lands on the filtered list of specific blockers. The dashboard is a navigation surface, not a dead-end picture.

Export

CSV, PDF, or API for custom tooling.

Any dashboard exports as CSV for data analysis, PDF for executive presentations, or via the open REST API for custom tooling. The export respects the viewer permissions, so a user cannot export more data than they can see in the UI. The export is a documented capability rather than a workaround.

Version history

Every dashboard change, revertable.

Each dashboard change writes a version. The admin can diff versions, revert to a previous version with one click, and see who changed what and when. The version history prevents the common failure where a well-tuned dashboard breaks after an untracked edit and no one remembers the previous configuration.

Project dashboards that answer the real questions production teams ask every week.

Sprint burndown, capacity, backlog health, blockers, release readiness, roadmap confidence, cross-project rollups, revenue influence, and the cross-functional CRM views all ship as templates in the native dashboard builder. No BI tool required, no sync job, no middleware. Clone a template on your real projects and share it with the team on day one.

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Common questions

What buyers ask about this feature.

What project dashboards do production teams actually keep open?

The eight dashboards production teams actually keep open are sprint burndown (points remaining versus ideal line, by day), capacity utilization (team load by day with overallocation flagged), backlog health (groomed versus ungroomed versus ready for sprint), blocker aging (how long blockers have been blocked), release readiness (scope, bugs, QA status, go-live risk), roadmap confidence (dates with confidence intervals instead of fictional single-date commitments), cross-project rollup (program-level view across every active project), and revenue influence (which projects source which pipeline). Strkr ships each as a native dashboard template that admins clone and retarget to their specific projects or portfolio. The template library includes the specific objects, fields, filters, and chart types that make each dashboard useful rather than decorative.

What burndown and velocity metrics are useful versus just noisy?

The burndown and velocity metrics that answer the mid-sprint "will we finish" question are sprint burndown by points with scope-change markers, issue-count burndown for teams that do not use points, velocity trend with a three-sprint rolling average, commit versus completed to surface planning calibration, per-assignee burndown to identify specific team members who need help, blocked versus active to surface dependency problems, cycle time with median and percentile views, flow efficiency to catch hidden wait states, and spillover trend to detect chronic planning issues. The metrics that tend to be noisy are raw open issue count, raw story points without context, and single-point estimates with no confidence intervals. Strkr templates lean into the first group and avoid the second.

What dashboards work at the program and portfolio level?

For program managers and executives, the useful views are portfolio health (every active project with a status chip, driver, target date, and blocker), date confidence (target dates with real variance based on past velocity and current scope), resource allocation (who works on what across projects with over-allocation flagged), dependency map (cross-project blockers rendered as a graph with the critical path visible), scope creep (points added to each project after kickoff), milestone timeline (every major milestone across every project on one horizontal line), budget utilization (spend versus budget by project), launch readiness (marketing, sales, support readiness alongside product readiness), and the weekly exec summary that compresses the program picture into one view with drill-down one click away.

What cross-CRM and project dashboards does Strkr enable?

Because CRM and Projects run on the same shared record, cross-tool dashboards work out of the box. Project to account ties every customer implementation project to the customer account with health, ARR, open opportunities, and renewal date visible. Implementation health shows every active customer onboarding with days-since-kickoff and milestones at risk. Services revenue shows billable hours versus forecast per engagement. Feature to pipeline ties feature releases to opportunities that cited the feature. Churn drivers analyzes project history on churned accounts. Expansion opportunity tracks projects that opened new buying centers. NPS by implementation ties post-implementation surveys to the implementation team. Launch to adoption tracks feature releases through the customer usage curve. These views are routine on a shared-record stack and difficult on a two-tool stack.

How do admins build and share dashboards in Strkr?

The visual dashboard builder lets admins pick the object (issue, project, release, account, deal), the fields to include, the filters to apply, the grouping to use, and the chart type (burndown, bar, column, line, pie, scatter, table, heatmap, timeline, Gantt, funnel). The template library ships the nine project dashboard templates ready to clone. Dashboards share with roles, teams, or specific users and respect the viewer permissions so each viewer sees only their records. Scheduled delivery pushes a PDF or Slack snapshot on a configured cadence. Pinned dashboards land new users on the right view on first login. Every chart element drills through to the underlying record list. Export supports CSV, PDF, and the open REST API. Version history preserves every change and supports one-click revert.

Does the dashboard builder require a BI tool or specific tier?

No. The dashboard builder, the template library, scheduled delivery, permission-aware sharing, drill-down navigation, CSV and PDF export, open REST API access, and version history all ship on every paid tier at no extra charge. The CRM and Projects seats both unlock the dashboard builder on their respective record types. The shared record store lets cross-tool dashboards work without a BI tool, a data warehouse ingestion, or a middleware integration. For teams that still want to run a BI tool for specialized analysis (Looker, Tableau, Power BI), the open REST API and documented warehouse ingestion patterns support the integration. HIPAA deployments with a BAA and SOC 2 Type II in progress cover the compliance posture.

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