Most dashboard creators sit as a separate product with their own data model, their own permissions, and their own licensing. Strkr's dashboard creator reads the same records the rest of the CRM uses, inherits the same permission model, and ships without a BI tool bill. Drag tiles, drop filters, drill through to records, schedule delivery, and share with signed links. One surface, one price.
A credible dashboard creator in 2026 ships nine properties: live data, drag-and-drop tiles, filter sidebars, drill-through, scheduled delivery, external sharing, embedded on records, mobile-ready, and no incremental licensing. Strkr's builder ships all nine. If any is missing, the dashboard becomes a decoration rather than a surface the team runs by.
Every tile resolves against the live CRM record at the moment the dashboard loads. No overnight ETL, no snapshot, no "last updated 4 hours ago" caveat. The number on the tile is the number in the deal grid.
The builder renders as a grid. Drag a tile from the library, drop it where it fits, resize to taste. The grid snaps to a 12-column system that reflows on mobile. No code, no config file, no "ask engineering to add a chart" ticket.
The sidebar accepts filters that apply to every tile on the dashboard: segment, product line, region, owner, time range. Viewers tweak filters without touching the saved layout. The saved layout stays the shared truth; the per-viewer slice is ephemeral.
Every tile is a filter. Click the "$1.2M closed MTD" and the 14 closed deals open in the pipeline grid with the same owner, stage, and segment filters applied. No tab-shuffling, no rebuild in a reports module.
Any dashboard schedules to email or Slack on any cadence. Weekly leadership roll-up, daily rep queue, monthly board review. The team reads the number before standup rather than opening a tab. Scheduled delivery is included; no third-party scheduler required.
Share a dashboard outside the tenant via a signed read-only link with optional expiration and optional password. Every open logs with timestamp and viewer IP. No external user needs a seat. Board decks become live dashboards instead of stale PDFs.
Tiles embed inline on account and contact detail pages. The CSM opens an account and the renewal risk, support SLA, and expansion pipeline tiles render inside the record. No tab-shuffling between dashboard and account.
Dashboards reflow to a single column on mobile, with tiles stacked by priority order. Drill-through works from the phone. The executive opens the dashboard on the way to the board meeting and the numbers match the slides.
The dashboard creator is part of the CRM seat price. There is no separate SKU, no credit meter, no viewer license, no analytics tier upgrade. Dashboards stop being gated behind a procurement conversation.
The dashboard creator ships twenty tile types out of the box, from simple counters to drill-through tables. Each type accepts filters, custom labels, alert thresholds, and a destination URL for the drill-through. Here are the shapes the team reaches for most.
A large counter with a trailing-period comparison and a sparkline. The staple of every executive dashboard. Use for revenue, pipeline, closed count, SLA breaches. Threshold rules turn the counter red when the number crosses a configured line.
A line chart over a configurable period, grouped by owner, segment, or source. Use for weekly closed won, trailing pipeline, lead volume. Multi-line charts show up to five series.
A bar chart comparing values across categories. Use for pipeline by segment, win rate by rep, source attribution. Stacked variants show composition within each bar.
A horizontal funnel showing count and value at each stage with conversion between adjacent bands. Use for pipeline funnel, lead funnel, support ticket funnel. The widening or narrowing of each band tells where the leak is.
A grid showing cohorts down the vertical axis and periods across the horizontal, colored by a metric (retention, NRR, LTV). Use for cohort retention, cohort expansion, cohort payback. Hover any cell for drill-through.
A sortable table with up to ten columns and a total row. Use for rep leaderboard, account value, aged pipeline, open deals. Click a row to open the record.
A pie or donut for composition views: pipeline by segment, revenue by product line, source share. Use sparingly; bar charts usually read better. Donut variants show a center metric.
A compact row showing metric name, current value, target, variance, and status (green, yellow, red). Use for OKR tracking, SLA scorecards, quota attainment. The exec reads a dozen metrics in one glance.
A choropleth map showing a metric by state, country, or region. Use for pipeline by territory, deals by region, customer density. Click a region for drill-through.
The flow from "I need a dashboard" to "the team is reading it on Monday" takes under ten minutes once the ops lead knows the surface. Here is the shape.
Open the dashboard builder, click New, name the dashboard, set the default scope (team, segment, time range). The canvas is a 12-column grid ready for tiles.
Drag a KPI counter for closed MTD, a trend line for weekly closed won, a funnel for stage conversion, and a table for the rep leaderboard. Each tile prompts for the source object, the metric, and the grouping. Save and watch the data populate.
Add filters for segment, region, and time range. The sidebar renders with the controls, viewers select slices, and the tiles reflect the selection. The saved default stays the shared truth.
On the KPI counter, set a threshold rule: alert when the number drops below a configured line. Route the alert to Slack or email. The dashboard becomes a notification surface in addition to a passive display.
Set the permission scope: team visibility, specific user list, or external link. The share link respects the scope. Internal users see the dashboard inside the app; external viewers see it on a signed URL with optional expiration.
Schedule the dashboard to deliver on a cadence: Monday 7 AM, daily 6 PM, first-of-month. The delivery renders the current state as an HTML email or Slack message with the key tiles inline. Executives read it before opening the app.
Teams that outgrow the native CRM reports usually consider one of four paths: Looker (now Looker Studio), Tableau, Mode, or a long tradition of Google Sheets exports. Each has its place. Here is the honest grading for CRM-centric dashboards specifically.
Looker Studio is free and powerful once the data is in BigQuery. The gap is that getting CRM data into BigQuery is a data-engineering project: Fivetran or Stitch for the sync, a warehouse to maintain, a modeling layer on top. For a team that already has a data stack, Looker is credible. For a team that does not, the setup cost is six figures the first year.
Tableau is the dashboard-building Rolls Royce. The visual polish is unmatched. The pricing is $75 per creator per month and $15 per viewer, with annual commits and administrative setup. For a team of five analysts building dashboards, Tableau is justifiable. For a 30-rep sales team that just needs the forecast call surface, it is overkill.
Mode and Hex are powerful SQL-first analytics tools. The surface is excellent for analysts and painful for non-analyst users. If every dashboard needs an analyst to touch it, the operational cadence slows. Strkr's builder is drag-and-drop so sales ops owns dashboards without an analyst in the loop.
Strkr reads the records directly. There is no ETL, no warehouse, no modeling layer, no viewer license. The team builds dashboards on live records in a drag-and-drop surface and ships them in minutes. For CRM-centric reporting, this is the lowest-friction path. For analytics that span CRM, product telemetry, and finance, a warehouse-backed BI tool remains the right pick.
Different reporting problems call for different tools. Here is the decision tree Strkr customers walk when they are picking what the dashboard belongs in.
If the dashboard reports on CRM data (pipeline, leads, deals, accounts, cadence output), the Strkr builder is the right pick. The data is already there, the permissions are already set, and the builder is already included. Setting up Looker or Tableau for this is a six-month procurement for a two-day problem.
If the dashboard needs CRM data plus billing data from Stripe or an ERP, Strkr's native integrations usually cover it. If the join is more complex (deferred revenue, cohort LTV with product usage), a warehouse-backed tool shows up. Strkr's API makes the dual approach straightforward.
Product usage data lives in the warehouse. CRM data lives in Strkr. The common pattern is Strkr dashboards for sales motion and a warehouse-backed tool for product analytics. Strkr's open API lets the warehouse pull CRM data on a schedule for cross-cutting dashboards.
Strkr's dashboard creator is included on every paid tier with no viewer license, no credit meter, and no BI SKU. Clone a template, drag tiles, drop filters, and share before the next standup.
No. The dashboard creator is part of the CRM seat price on every paid tier. There is no separate SKU, no viewer license, no credit meter on query volume, and no analytics tier upgrade. Build as many dashboards as you need and share them with everyone who needs to read them.
Tableau and Looker Studio are richer dashboard tools with deeper visualization options and support for data joined across many sources. Their strength is also their cost: both require a data warehouse, ETL plumbing, and either analyst time or a creator license. Strkr's builder is CRM-native, drag-and-drop, and included in the seat. For CRM-centric dashboards, Strkr is faster to ship. For analytics that span many systems, a warehouse-backed BI tool remains the right pick, and Strkr's API feeds it the CRM data on a schedule.
Yes. The filter sidebar lets viewers apply ad-hoc filters that scope every tile on the dashboard. The viewer's filter choice persists for their session so refreshing the page keeps the slice. The saved layout and default filters stay unchanged, which keeps the shared dashboard predictable for everyone who opens it.
Yes. Every KPI counter and trend line accepts a threshold rule (above a line, below a line, trailing-period change beyond a percentage). When the rule trips, Strkr routes an alert to Slack or email. The dashboard stops being a passive display and becomes a notification surface. Alert history logs alongside the dashboard's edit audit.
Yes. Dashboards embed via a signed iframe URL that scopes to the viewer's identity. Common patterns are embedding a dashboard in an internal portal, a wiki, or a partner-facing surface. The embedded view inherits the signed URL's permission scope so viewers see exactly the records they are allowed to see.
Any dashboard schedules to email or Slack on any cadence: once a day, weekly, first-of-month, custom cron. The delivery renders the current state as an HTML email or Slack message with the key tiles inline, including small thumbnail renderings of charts. Recipients open the message, read the numbers, and click through to the live dashboard for drill-down. Scheduling is included in the seat price with no third-party scheduler required.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
