The sales dashboard every role opens first every morning.
Role-keyed defaults for reps, managers, and execs. Per-dashboard filter, date range, and segment. Drill into any tile and land on the records behind the number. KPI tiles, charts, tables, and leaderboards on the same grid. Full mobile parity. Custom widgets, sharing, and templating on every paid tier.
Three audiences, three dashboards, one data model.
A sales dashboard is not an analytics tool. It is the first page every revenue person opens in the morning and the last page they close at night. The rep looks for pace, pipeline, and the three deals that need a nudge today. The manager looks for team gap-to-quota, coaching flags, and the deals a rep is quietly letting slip. The exec looks for forecast attainment, coverage ratio, and the segments driving or dragging the quarter. Three jobs, three audiences, three different information needs. Shipping one shared dashboard for all of them produces a page nobody actually opens. Shipping role-keyed defaults produces a page every role lives inside, which is the only measurement that matters.
Rep dashboard
Pace, pipeline, and the next three actions.
The rep lands on a page that shows current quota attainment, pro-rated pace, open pipeline by stage, deals flagged at risk by Strkr AI, and the three activities most likely to move a deal this week. Not a wall of charts, not a scoreboard pretending to be useful. Just the number they are chasing and the smallest set of actions that moves it.
Manager dashboard
Team gap-to-quota and coaching flags on one page.
The manager opens a team view sorted by gap-to-quota, so the biggest intervention surfaces first. Pipeline coverage per rep against their own quota, not the team aggregate. Deal risk flags grouped by owner. Activity totals so the low-call-volume rep gets a coaching nudge. The dashboard becomes the 1:1 agenda.
Exec dashboard
Forecast, coverage, and segment health in one glance.
The VP or CRO opens a leadership roll-up. Current-quarter booked, open pipeline, coverage ratio, forecast commit versus most-likely, this-week movement by stage, segment win-rate heatmap, cycle-time trend, and the top ten deals at risk. The Monday meeting runs from the dashboard instead of a slide deck.
RevOps dashboard
Hygiene, data quality, and leading indicators.
The RevOps lead opens a Friday afternoon view. Deals with missing close dates. Deals with missing amount. Accounts with no primary contact. Stage-conversion trend over the trailing eight weeks. Forecast-accuracy history for every rep. Every red cell is clickable, so fixing a bad record is a click, not a filter rebuild.
CSM dashboard
Account health, renewal pipeline, open risks.
The customer success manager opens a book-of-business view. Accounts by health score. Renewals in the next 60, 90, and 120 days. Open support tickets older than 7 days. Last meaningful activity on every account. The CSM covers the book from one page instead of three tabs and two spreadsheets.
SDR dashboard
Dials, meetings booked, and SQL conversion.
The SDR opens an activity-first view. Dials against target. Meetings booked this week versus last. SQL conversion from meetings they sourced. Pipeline sourced in dollars and in count. The team lead opens the same dashboard scoped to the whole SDR org, with a leaderboard tile and a per-rep activity bar.
Partner dashboard
Deals sourced, deals closed, partner attribution.
The channel lead opens a partner-sourced view. Deals sourced per partner this quarter. Deals closed per partner. Partner-attributed revenue versus direct. Co-sell pipeline by stage. Partners who sourced zero in 90 days get flagged for a check-in call. The partnership motion stops being invisible to the forecast.
What the dashboard actually does on day one
Tiles, filters, drill-down, sharing, mobile parity.
A sales dashboard product is only as useful as the mechanics that back the tiles. The right KPI on the wrong chart type is a wall. The right chart on a page with no filter is a static poster. The right chart with the right filter and no drill-through is a dead end. Strkr ships the full mechanics around every tile so the dashboard works the way the viewer actually reads it. Click through, filter down, roll back up, share with a teammate, open on a phone. Every mechanic ships on every paid tier, not behind a feature wall that the sales team meets six weeks into the trial.
KPI tiles
The single number, the delta, the sparkline.
Every KPI tile shows the current number, the trailing comparison, the delta as a percent, and a sparkline across the comparison window. Attainment to quota, deals closed this month, pipeline coverage, average cycle time, win rate, forecast variance. The viewer reads the state in two seconds and clicks for context when they want more than the number.
Chart tiles
Line, bar, funnel, heatmap, pie, stacked bar.
Every tile picks the right chart type for the question. Pipeline over time is a line. Rep attainment is a horizontal bar. Stage conversion is a funnel. Win rate by segment is a heatmap. Source of pipeline is a donut. The builder suggests the right type based on the dimensions the viewer picks, so a RevOps lead who is not a visualization expert still ships the right chart.
Table tiles
Sortable, paginated, exportable in one click.
Not every answer is a chart. The top ten at-risk deals is a table. The accounts with renewal in 60 days is a table. Every table tile sorts by any column, paginates past the first ten rows, and exports to CSV from a hover menu. Column widths persist per viewer, so a manager who sorts by amount every morning gets the same view every morning.
Leaderboard tiles
Rank reps, teams, or segments by any metric.
The leaderboard tile ranks the viewer against the field on any metric. Attainment, pipeline sourced, meetings booked, deals closed, average cycle time. The viewer always sees their own row highlighted even when it is below the top ten, so a rep who ranks 15 still gets a specific gap number to close. Scoped to team by default, scoped to tenant for exec dashboards.
Per-dashboard filters
Date range, segment, team, product, source.
Every dashboard carries its own filter rail. Date range, segment, team, product, source, custom tags. Change a filter and every tile re-queries against the new scope in one shot. The filter rail persists per viewer, so a manager who always starts with last-30-days scoped to their team opens the same view every morning without clicking a filter.
Drill-down from any tile
Click a bar, land on the records behind it.
Click the Qualified bar on the stage funnel, land on the filtered deal list with every active filter preserved from the dashboard. Click the top rep tile, land on their pipeline. Click an at-risk account row, land on the account page with the full timeline. The dashboard is a navigation surface for the records, not an inert artifact.
Dashboard sharing
Publish to a user, a team, a role, or the tenant.
Build a dashboard once, publish to a user, a team, a role, or the whole tenant. Permission scope evaluates at view time, so a rep who sees the shared leadership dashboard still only sees their own deals in the pipeline table. One canvas, many permission-scoped views, zero duplicate maintenance when a tile changes.
Templating
Clone, modify, publish, iterate.
Every dashboard clones to a tenant copy for modification without losing the original. A RevOps lead starts from the leadership template, swaps in two custom tiles, publishes to the exec team, and keeps the standard template in the gallery for anyone who wants the baseline. New-rep onboarding gets a starter dashboard that mirrors the top performer's view.
Mobile parity
Every tile legible on a phone screen.
Every dashboard renders at full fidelity on a phone. Tiles reflow to a single column, charts resize to the viewport, filters collapse into a bottom-sheet drawer, drill-through routes to the mobile record page. A rep driving to a meeting opens the dashboard at a stoplight and reads the state in two seconds without pinch-and-zoom.
HubSpot ships competent dashboards on Professional and above, but the useful custom builder sits behind the Enterprise paywall at a step function most growing teams hit in year two. Salesforce dashboards work out of the box, but anything role-keyed, mobile-grade, or deeply customized typically moves to Analytics Cloud, which is a separate per-seat SKU usually priced above the base CRM license. Looker and Tableau are powerful BI products, but they run on a replicated data model that lags your records by a shift and require a dedicated admin to keep healthy. Strkr sits in a different lane: role-keyed defaults on day one, custom builder on every paid tier, mobile parity in the base plan, and the same data model as the records every number is drawn from.
HubSpot Pro
Good at Pro, paywalled at the ceiling.
HubSpot Professional ships competent sales dashboards and the dashboard limit is high enough for most teams. The ceiling is custom reporting and attribution, which move to Enterprise at roughly 3,600 dollars a month above the base plan. Teams that want role-keyed defaults by rep, manager, and exec typically end up on Enterprise within a year of serious adoption, which is a step function most growing teams underestimate at the time of signing.
Salesforce + Analytics Cloud
Deep, extra SKU, admin required.
Salesforce out-of-the-box dashboards work for the base cases, but the sophisticated role-keyed and segment-sliced dashboards typically move to Analytics Cloud, a separate SKU priced per user above the base license. The admin cost compounds: a certified Analytics Cloud admin usually runs six figures a year fully loaded, and the ETL into the Analytics Cloud data model breaks every time a field changes.
Looker
Beautiful, bolted-on, six figures a year.
Looker is a serious BI product and the dashboards are beautiful. The problem for a sales team is that Looker lives on a warehouse that is hydrated from the CRM via nightly ETL, so a deal that moved on Friday night does not show up in the Monday morning dashboard. Add the Looker admin cost and the warehouse cost and the total line is usually a six-figure annual commitment that scales with headcount.
Tableau
Powerful, slow, separate skill set.
Tableau builds the most visually sophisticated charts of any option in the market and is also the slowest to maintain. Dashboards require a Tableau specialist to build and a separate ETL pipeline to keep fresh. The gap between a question in a Monday leadership meeting and a Tableau answer is usually a week, which is the wrong latency for an operational dashboard a sales leader checks every morning.
Pipedrive
Fine for a small team, thin at scale.
Pipedrive dashboards cover the basics for a sub-20-rep team and get thin fast as the business adds segments, products, and roles. The dashboard builder lacks role-keyed defaults, custom tile types, and permission-scoped sharing, which means a growing team outgrows the dashboard layer before they outgrow the rest of the CRM. Most Pipedrive customers end up buying a separate BI tool in their second year.
Strkr
Role-keyed, custom-built, mobile-ready, included.
Strkr ships rep, manager, and exec dashboards on day one. Custom dashboards and the full tile library ship on every paid tier. Full mobile parity ships in the base plan. The dashboard runs on the same database as the records, so a deal that moves at 10:03 shows up on the chart at 10:03. One line on the bill, one admin to train, one data model to maintain, zero BI SKU multiplier.
The widgets you actually configure
Tile library, custom metrics, and what reps can edit.
A dashboard product that ships only pre-built tiles stops being useful the moment a RevOps lead asks a question the template did not anticipate. A dashboard product that ships only a blank canvas forces every team to reinvent the leadership roll-up from scratch, which most teams do badly. Strkr ships both. A library of pre-configured tiles for the common questions, plus a custom tile builder for the long tail. The library covers the ninety percent, the builder covers the ten, and the result is a dashboard a rep can personalize on day two without a RevOps ticket.
Pre-built tile library
Forty-plus tiles covering the common questions.
Attainment, pipeline-by-stage, open deals by owner, win rate by segment, cycle time by product, forecast commit, forecast most-likely, source-of-pipeline, activity totals, meetings booked, deals at risk, stuck deals, renewal pipeline, churn risk, net-new logos, expansion revenue, team leaderboard, rep leaderboard. The library ships on day one with sensible defaults a new tenant runs immediately.
Custom metric builder
Any formula, any filter, any dimension.
Define a custom metric with a formula over any field, any aggregation, any filter. Average deal size for new-business deals in the North America segment, excluding opportunities under 10,000 dollars. The builder validates the formula against your schema, surfaces type errors inline, and previews the number before you save. No separate semantic layer, no YAML, no SQL required for the common cases.
Custom chart tiles
Pick dimensions, pick a chart, publish.
Drop a tile, pick a metric and up to two dimensions, pick a chart type, position on the grid. The builder suggests the right chart type based on the dimensions, so a RevOps lead who is not a visualization expert still ships the right chart. Change a filter on the dashboard and the tile re-queries against the new scope in one shot.
Dashboard-level filters
One filter rail, every tile responds.
Set a date range, segment, team, product, or source filter at the dashboard level and every tile responds in one query. No per-tile filter re-work, no mismatched date ranges across tiles that force a viewer to reconcile two charts. The filter rail persists per viewer, so a manager who always starts with last-30-days scoped to their team opens the same view every morning.
Per-viewer personalization
A rep can save their own filter view.
Every viewer can save a personal filter view over a shared dashboard. The leadership dashboard is one page, but a West region VP saves a West-only filter view and opens it as their default. A rep saves a view filtered to their own deals. The underlying tiles stay shared, so a tile fix propagates to every personal view without a republish cycle.
Role-based defaults
Each role gets a sensible starting dashboard.
When a user is provisioned, Strkr assigns a default dashboard based on their role. Rep gets the rep dashboard. Manager gets the manager dashboard. Exec gets the leadership roll-up. The default is a template, not a lock, so any user can clone and personalize. New hires land on a useful first-day view instead of a blank slate they do not know how to populate.
Custom field support
Your custom fields are tileable the moment they exist.
The custom field a RevOps lead added for competitor-present tracking last week is a tile filter today, a group-by dimension today, and a chart axis today. The custom object a team added for partnerships last quarter is a tileable entity today, with every custom field exposed. No ETL mapping, no schema archeology, no cross-product change request.
Compare-to-period
This month versus last, this quarter versus prior.
Every KPI tile shows the trailing comparison inline. This month versus last month, this quarter versus prior quarter, this year versus prior year. The compare window picks sensibly based on the primary date range, and the viewer can override to any comparison window they want. The dashboard answers the "are we up or down" question without a mental math pass.
Beyond the standard day
Flow-triggered dashboards, snapshots, and live rollout.
Most dashboard products stop at the moment the tile is published. Strkr goes further because the dashboard is part of the operating cadence, not a static artifact. Fire a flow when a tile metric crosses a threshold. Snapshot the full dashboard state nightly so a quarter-end lookback is a filter, not a reconstruction. Push a dashboard change to the whole org at once without a cache invalidation window. Schedule a dashboard image to a Slack channel every morning. The dashboard integrates with the rest of the system, which is the actual difference between a product people use every day and a product people open twice and forget.
Flow-triggered dashboards
Metric crosses a threshold, a flow fires.
When a rep crosses 100 percent of quota, fire a flow that posts in the sales-wins channel and emails the leadership team. When pipeline coverage drops below 3x for the next quarter, auto-escalate to the VP with the shortfall math already calculated. The dashboard stops being inert and becomes a trigger surface for the operating cadence.
Snapshot history
What the dashboard looked like on quarter-end.
Every dashboard snapshots nightly, with full tile state captured. A quarter-end lookback report is a snapshot filter, not a reconstruction from current records. The CFO who asks "what did our forecast commit look like on the first of the quarter" gets the right answer, with the right numbers, the right owners, and the right stages as of that date.
Scheduled delivery
Monday morning digest, no analyst in the loop.
Any dashboard snapshot can be scheduled to email, Slack, or an in-app digest. Weekly leadership roll-up on Monday at 7 AM. Daily rep nudge every weekday at 8. Monthly board snapshot on the first, auto-formatted as a PDF with every tile embedded. The analyst stops being the delivery mechanism and gets back to answering the real questions.
Live rollout
Push a dashboard change without a cache delay.
Change a tile on a shared dashboard, click publish, every viewer sees the new state on their next page view. No cache invalidation window, no overnight propagation, no "wait until morning" cycle that most BI tools require. A fix shipped at 2 PM is in front of the leadership team at 2:01, which is the right latency for an operational tool.
Dashboard templates
Starter dashboards for every role on day one.
A new tenant provisions with ready-made dashboards for every standard role: rep, manager, exec, RevOps, CSM, SDR, partner. Each template is a starting point, not a lock. Clone, modify, publish. The alternative, which is making every new tenant build their first dashboard from a blank canvas, loses the first week to a problem that was already solved.
Export and embed
PDF, PNG, URL, or iframe.
Export any dashboard to PDF for a board deck. Export any tile to PNG for a Slack post. Share a dashboard URL to a specific viewer with permission scope preserved. Embed a dashboard in an iframe on an internal wiki or company intranet, with the same authentication as the Strkr app. The dashboard goes wherever the viewer needs it, not just where the vendor sends it.
Dashboard-level ACL
Owner, editors, viewers, per dashboard.
Hand a dashboard to a specific user as owner. Add editors and viewers per dashboard. Admins always have full access. Server-side ACL gates every read and every tile edit, so a sales-ops contributor cannot accidentally publish to a leadership dashboard. The audit log captures every edit, publish, and share event for compliance review.
Freshness indicator
Every tile shows when it last ran.
Every tile displays its last-run timestamp and whether it ran against the primary database or the read replica. The viewer never wonders whether a number is stale. Real-time tiles update within seconds of the record change. Historical tiles update hourly against the replica, because trending the last 24 months of cohorts does not benefit from sub-second freshness.
Dashboards running in production today
The exact pages our customers open every morning.
The VP of Sales
Monday 7 AM, the leadership roll-up.
Twelve tiles on one page. Current-quarter booked, open pipeline, coverage ratio, forecast commit versus most-likely, this-week movement by stage, top ten deals at risk, rep attainment leaderboard, segment win-rate heatmap, cycle-time trend, source-of-pipeline donut, net-new logos, expansion revenue. The Monday meeting runs from the dashboard, not from a slide deck a RevOps lead built over the weekend.
The front-line manager
Mid-week team coaching view.
Attainment by rep sorted by gap-to-quota, so the biggest intervention surfaces first. Pipeline coverage per rep against their own quota. Deal risk flags grouped by owner. Activity totals so the low-call-volume rep gets a coaching nudge. The Thursday 1:1 agenda writes itself from the dashboard, which is the right job for a dashboard a manager uses every week.
The individual rep
Personal pace and next-best-action.
Current attainment, pro-rated pace, open pipeline by stage, deals flagged at risk, and the three activities most likely to move a deal this week. The rep opens the dashboard first thing in the morning on their laptop, then checks it on their phone from the car between meetings, then closes it last thing at night from the couch.
The RevOps lead
Friday afternoon hygiene sweep.
Deals with missing close dates. Deals with missing amount. Accounts with no primary contact. Stage-conversion trend over the trailing eight weeks. Rep activity against expected. Forecast-accuracy history for every rep. The red cells get cleared before Monday, so the leadership meeting is not derailed by data quality issues that everyone already knew about.
The CSM team lead
Book-of-business health roll-up.
Accounts by health score. Renewals in the next 60, 90, and 120 days. Open support tickets older than 7 days by account. Last meaningful activity on every account in the book. NPS detractors from the past 30 days. The CSM lead covers the whole team book from one page and routes the risks to the right CSM for a Monday follow-up.
The board quarterly
The slide-free board review.
A board-ready dashboard with ARR waterfall, net revenue retention, logo retention, new-logo ACV trend, win rate by segment, average contract value trend, sales efficiency, and payback period. Every number tied to the records that produced it, so a board member asking "what is in that top ten" clicks through and sees the deals. The CFO runs the slide prep in an hour instead of a week.
Role-keyed dashboards on every paid tier, no BI SKU.
Rep, manager, and exec dashboards ship on Starter. Custom dashboards, templates, and scheduled delivery ship on Pro. Flow-triggered dashboards and full snapshot history ship on Scale. Mobile parity is in every plan. The analytics line on the bill does not have a second line waiting behind it.
How is a Strkr sales dashboard different from a Strkr sales report or the analytics engine?
A Strkr report is a saved query with a chart, usually built once by a RevOps lead and surfaced in a library. The analytics engine is the layer underneath that runs the queries, snapshots the records, and exposes the schema to the raw SQL console. A dashboard is the daily visualization surface that composes multiple tiles onto one page, carries its own filter rail, and routes a viewer to the records behind any tile. Reps and managers live inside the dashboard. RevOps analysts live inside the report builder and the SQL console. Executives live inside the dashboard and occasionally drill into a report for one-off questions. All three layers share the same data model.
Can a rep customize their own sales dashboard without opening a RevOps ticket?
Yes. Every rep can clone the standard rep template, swap tiles in and out of the grid, pick different metrics, change the dashboard-level filter, and save a personal view. The tile library is the same library the RevOps lead uses, so a rep is not limited to a watered-down subset of options. Personalization is scoped to the viewer, so the shared leadership dashboard stays shared while a rep still gets their own personal variant. New hires start on the role default and typically personalize their dashboard inside the first week once they figure out which tiles they actually open every morning.
Does the Strkr sales dashboard work on mobile?
Yes, with full tile parity. Every tile that renders on the desktop renders on the phone. Charts resize to the viewport. Tiles reflow to a single column. Filters collapse into a bottom-sheet drawer that pulls up when the viewer wants to change the scope. Drill-through routes to the mobile record page, so clicking a bar on the stage funnel lands on the filtered deal list on mobile exactly as it would on desktop. A rep who checks the dashboard from the car between meetings reads the state in two seconds without pinch-and-zoom. The mobile dashboard is not a stripped-down companion app, it is the same dashboard rendered for a smaller viewport.
How current are the numbers on a Strkr sales dashboard?
Real-time where it matters, cached where it does not. Pipeline-by-stage, rep attainment, open-deals, and forecast rollup refresh in real time against the primary database. A deal that moves at 10:03 shows up on the chart at 10:03, and the manager looking at the chart at 10:02 sees the new state on their next refresh. Historical cohort, territory, and multi-month trend tiles refresh hourly against a read replica for performance, because trending the last 24 months of cohorts does not benefit from sub-second freshness. Every tile displays its last-run timestamp so a viewer never wonders whether a number is stale. By comparison, bolted-on BI products typically run on nightly ETL, so the earliest a chart updates is the morning after the record change.
Can I share a Strkr dashboard with my whole team without each rep seeing everyone else's deals?
Yes. Permission scope evaluates at view time against the CRM permission model. A rep who opens a shared leadership dashboard only sees their own deals in a pipeline-by-owner tile, their own attainment in a per-rep bar chart, and their own activity totals in a weekly rollup. A manager sees their team, resolved through the manager hierarchy on the user record. A VP sees the division. The admin sees everything. One dashboard canvas, many permission-scoped views, no accidental leak of a strategic deal to a sibling rep. Permission scope is live, so a rep who moves teams this morning sees the right data this afternoon with no cache invalidation window.
What is the cost of Strkr sales dashboards versus HubSpot Operations Hub or Salesforce Analytics Cloud?
Strkr ships rep, manager, and exec dashboards on every paid tier with no per-seat analytics multiplier, so dashboards do not scale with headcount independently of the base plan. HubSpot bundles useful dashboards on Professional, but role-keyed defaults and advanced custom reporting typically push to Enterprise at roughly 3,600 dollars a month above the base plan. Salesforce out-of-the-box dashboards cover the base cases, but role-keyed and segment-sliced dashboards usually move to Analytics Cloud at several hundred dollars per user per month on top of the base license. For a 50-rep team the gap between Strkr and a Salesforce plus Analytics Cloud stack compounds to six figures a year before considering the Analytics Cloud admin cost.
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