Sales Pipeline Dashboard Mockup Template

The Sales Pipeline dashboard template is a one-page weekly review layout for VPs of Sales and RevOps leads, built to decide whether open pipeline covers the quarter's target and which deals need attention before the next forecast call. It shows open pipeline, weighted pipeline and pipeline coverage against target.

Sales Pipeline dashboard template mockup with header and filters, kpi row, stage, movement and source row, deal detail row

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About this template

Sales

A sales pipeline dashboard for the weekly pipeline call, where a VP of Sales or RevOps lead checks whether open pipeline covers the quarter and which deals are stuck. Five KPIs (open pipeline, weighted pipeline, coverage, win rate, sales cycle) sit above a stage funnel with value and deal count, a pipeline movement waterfall, a source donut, a top open deals table and a stacked deal-aging bar. Deals idle for more than 30 days in a stage are flagged in red, so the table doubles as the call agenda.

Metrics this dashboard tracks

  • Open pipeline
  • Weighted pipeline
  • Pipeline coverage vs. target
  • Win rate
  • Average sales cycle
  • Pipeline by stage & conversion
  • Pipeline movement (created, won, lost, pushed)
  • Deal aging by stage

What's on the Sales Pipeline dashboard?

Section What it shows Why it's here
Header and filters Title card, three dropdown filters The report title ("Q3 Pipeline Review"), a subtitle, a data last updated timestamp, and filters for fiscal quarter, sales team and segment. Lets one page serve every team and quarter, so the reader confirms the scope and data freshness before trusting any number.
KPI row Five KPI cards, one with a progress bar Open pipeline, weighted pipeline, pipeline coverage (with a bar against a 3.0x target), win rate and average sales cycle, each with a change versus last quarter. Answers whether the quarter is covered before anyone reads a chart, so the call starts with the decision rather than the data.
Stage, movement and source row Funnel chart, waterfall chart, donut chart Pipeline value and deal count by stage with conversion percentages between stages; a waterfall from starting to ending pipeline (created, won, lost, pushed out); and open pipeline split by source (inbound, outbound, partner, expansion). Puts where value sits, how it moved and where it came from side by side, so the reader can tell which stage, change or channel explains the total.
Deal detail row Table, stacked bar chart A table of top open deals (account, owner, stage, amount, close date, days in stage, next step) with stale deals flagged in red, beside a stacked bar of deal counts by stage split into 0-30, 31-60, 61-90 and 90+ day age buckets. Turns the review into an agenda: the reader sees which named deals are stale and which stages hold the oldest deals, then assigns next steps.

What each metric means

Open pipeline

  • Definition: The total amount of all deals that are still open (not won or lost), usually limited to deals expected to close in the selected period. Some teams include every open deal regardless of close date, so state which one you use.
  • Formula: Open pipeline = sum of amount for open deals in the period
  • Why it matters: It is the raw material for the quarter and the numerator of coverage.
  • Why a KPI card: A single large number with a change indicator gives the headline total at a glance, which a chart would bury.

Weighted pipeline

  • Definition: Open pipeline with each deal discounted by the probability attached to its stage, so a deal in an early stage counts for less than one in late negotiation. Stage probabilities are set by each company.
  • Formula: Weighted pipeline = sum of (deal amount x stage probability)
  • Why it matters: It gives a more realistic read of expected revenue than the unweighted total.
  • Why a KPI card: Placed beside open pipeline as another card, it can be compared with the unweighted total in one glance.

Pipeline coverage

  • Definition: How many times the open pipeline covers the quota or target still to be closed. Teams often set a target ratio, commonly around 3x as a rule of thumb, but the right ratio varies by company and depends on win rate.
  • Formula: Pipeline coverage = open pipeline / remaining quota
  • Why it matters: It shows early whether there is enough pipeline to reach the number, while there is still time to add more.
  • Why a KPI card with progress bar: The bar against the 3.0x target shows how far above or below target coverage sits, which the number alone does not.

Win rate

  • Definition: The share of closed deals that were won in the period. Some companies count by deal number and others by value, so label which one the card uses.
  • Formula: Win rate = won deals / (won deals + lost deals)
  • Why it matters: It tells you how much pipeline is needed to hit a target and whether deal quality is changing.
  • Why a KPI card: A single percentage with a point change suits a rate that moves slowly and is read as one figure.

Average sales cycle

  • Definition: The average number of days from deal creation to close for won deals. Some teams start the clock at first meeting or qualification instead of creation.
  • Formula: Average sales cycle = average of (close date - created date) for won deals
  • Why it matters: It shows whether deals created now can still close inside the quarter.
  • Why a KPI card: One number in days with a change versus last quarter is enough to see whether deals are getting faster or slower.

Pipeline by stage and stage conversion

  • Definition: Open pipeline value and deal count in each stage, with the percentage that moves from one stage to the next. Stage names and definitions are specific to each company.
  • Formula: Stage conversion = deals reaching the next stage / deals that entered the stage
  • Why it matters: It shows where deals are lost or stall, so the team can see which stage needs attention.
  • Why a funnel chart: Narrowing bars make the drop from stage to stage visible, and the percentages between bars show where deals leak, which a column chart does not emphasize.

Pipeline movement

  • Definition: A bridge from pipeline at the start of the period to pipeline at the end: new pipeline created, deals won, deals lost and deals pushed out of the period.
  • Formula: Ending pipeline = starting pipeline + created - won - lost - pushed out
  • Why it matters: It explains why total pipeline changed, which a single total cannot.
  • Why a waterfall chart: Floating bars show each increase and decrease between the starting and ending totals, so the reader sees which change moved the number most.

Open pipeline by source

  • Definition: The share of open pipeline from each lead source, such as inbound, outbound, partner and expansion.
  • Formula: Source share = open pipeline from the source / total open pipeline
  • Why it matters: It shows how dependent the quarter is on one channel.
  • Why a donut chart: With only four sources, slices show each channel's share of the whole, and the open total fits in the centre.

Deal aging by stage

  • Definition: The number of open deals in each stage grouped by how many days they have been in that stage (0-30, 31-60, 61-90, 90+). Days in stage is today minus the date the deal entered its current stage.
  • Formula: Days in stage = today - stage entry date
  • Why it matters: Deals sitting in a stage far longer than usual are less likely to close, so they need a decision.
  • Why a stacked bar chart: Each stage bar splits into age buckets, so the reader sees both how many deals are in a stage and how many of them are old.

Data you need to build this

  • CRM (Salesforce, HubSpot or similar), opportunity or deal object Deal ID, Account name, Owner, Amount, Stage, Status (open, won, lost), Created date, Close date, Stage entry date, Lead source, Next step, Team and segment
  • CRM stage history or field history Deal ID, Stage, Entered date, Exited date, Amount at each change, Close date at each change
  • Quota or planning sheet Team, Fiscal period, Quota or target, Target coverage ratio
  • Stage probability table Stage, Probability (set by your company)

Why it's laid out this way

  • The five KPI cards come first, directly under the filters, so the question of whether the quarter is covered is answered before any chart is read. Coverage is the only card with a bar against target.
  • The middle row reads left to right as a story: stages in the funnel show where value sits, the waterfall shows how it moved, and the donut shows where it came from. Funnel and waterfall use the same dollar scale as the open pipeline card.
  • Detail sits at the bottom. The table and the aging chart share a row so the stale deals flagged in red can be matched to the stages where the aging bars show older deals, which turns the table into the agenda for the call.

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How to use this template

  1. 1. Rename the funnel stages and the stage labels in the table and aging chart to match the stages in your CRM, and add or remove bars if you have more or fewer than five.
  2. 2. Replace the sample amounts and deal counts, then set the coverage target on the progress bar to your own ratio.
  3. 3. Edit the aging buckets and the stale-deal threshold to match your typical time in each stage, and update the red flags in the table to match.
  4. 4. Change the filter labels and the source categories in the donut to the quarters, teams, segments and lead sources you report on, then export to PNG, PDF, PPTX or JSON.

Every component is a live element in Mockko — resize it, swap the chart type, edit the mock data, or delete it.

Common questions

What KPIs should a sales pipeline dashboard include?
A sales pipeline dashboard should include open pipeline, weighted pipeline, pipeline coverage, win rate and average sales cycle. Add stage-by-stage conversion, a pipeline movement view and deal aging to explain what drives those numbers. A table of top open deals with days in stage turns the review into a list of actions for the next week.
How do you calculate pipeline coverage?
Pipeline coverage is open pipeline divided by the quota or target still left to close in the period. Illustrative example: $6.0M of open pipeline due to close this quarter and $2.0M of quota remaining gives 3.0x. Many teams use about 3x as a rule of thumb, but the right ratio varies by company and depends on win rate.
What data do I need to build a sales pipeline dashboard?
You need deal-level data from your CRM: amount, stage, status, owner, created date, close date, stage entry date and lead source. Add quota by team and period, and stage probabilities if you want weighted pipeline. Stage history is needed for conversion, movement and days in stage, because a snapshot of today only cannot show change.
Who should use a sales pipeline dashboard and how often should it be reviewed?
Sales leaders and RevOps analysts use it to judge coverage, and front-line managers use the deal table to coach reps. Review it weekly in the pipeline call, and look at coverage and aging more often near quarter end. Win rate and sales cycle move slowly, so a monthly or quarterly read of those two is usually enough.
What decisions does a sales pipeline dashboard help you make?
It helps you decide whether open pipeline is enough to cover the target for the quarter, which deals need attention, and where to focus prospecting. Pipeline coverage against the 3.0x target shows whether to add pipeline. Days in stage and the aging chart show which deals to review or drop. The movement waterfall shows whether losses or pushed-out deals are eroding the total, and the source donut shows which channel to back.
What are common mistakes when building a sales pipeline dashboard?
The most common mistake is using stage probabilities nobody has checked, which makes weighted pipeline look more precise than it is. Another is showing coverage without saying which close dates and remaining quota it uses. Hiding days in stage lets stale deals look healthy. Mixing deal count and deal value in the funnel without labelling each also confuses readers.
How do I customize this sales pipeline template in Mockko?
Open the template in Mockko in your browser, then edit it by dragging on the canvas or asking the AI chat. Replace the sample amounts with your own mock data, rename the funnel stages to match your CRM, and set the coverage target on the progress bar. Try asking the chat: "Rename the stages to Lead, Qualified, Proposal, Contract and Won." Export to PNG, PDF, PPTX or JSON, then build the real report in Power BI, Tableau or similar.
Can I build this sales pipeline dashboard in Power BI or Tableau?
Yes. In Power BI, use card visuals for the five KPIs, the funnel visual for stages, the waterfall chart for pipeline movement, a donut chart for source, a table for top open deals and a stacked bar chart for aging, with slicers for the filters. Tableau covers the same with worksheets: text tiles, a funnel built from bars, a waterfall, a pie or donut, a text table and stacked bars. Mockko is for designing the layout first.

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