← All dashboards/Sales & RevOps

Your pipeline dashboard, forecast grounded in the deals.

Open pipeline, coverage, new pipeline created, and stage velocity in one view, modeled from the CRM, so the forecast is grounded in the deals it came from.

See how to build one in Definite
What’s in a pipeline dashboard?

What’s in a pipeline dashboard?

A pipeline dashboard is the single governed view of the revenue the sales team is building toward: how much pipeline is open, whether it covers the target, how much new pipeline is being created, and how fast deals move through stages. The version worth committing a forecast on is modeled from the CRM in your warehouse, so the pipeline number on the screen is the pipeline the reps are working.

Pipeline gets reported differently in every meeting because it is re-derived from a CRM export or a BI query with different stage filters and date logic. When open pipeline, coverage, and velocity live in one definition modeled on Salesforce or HubSpot, the forecast and the pipeline review use the same number, and you catch the coverage gap before the quarter slips.

Who it’s forRevOps leads, sales managers, and CROs who own the forecast and pipeline review.

CadenceRefreshed daily; reviewed in the weekly pipeline review and at forecast commit.

Built fromSalesforce, Hubspot, Pipedrive

§ How it works

Describe your dashboard. Fi builds it.

Fi is the AI agent inside Definite. Tell it what you’re trying to understand, and it connects your sources, defines the metrics, and builds the dashboard. One conversation, not a project.

You
I need to see pipeline health: how much is open, whether coverage is enough, how much we created this month, and how fast deals are moving through stages.
✦ Fi
Here's your pipeline dashboard, on your Salesforce, Hubspot and Pipedrive data.
Here’s what’s in it

The top row leads with the 4 numbers that matter most: Open pipeline, Pipeline coverage, New pipeline, Avg sales cycle. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (Open pipeline over time, Booked revenue trend) show how the headline numbers have moved over time. A breakdown (New pipeline by stage) splits the metric by dimension so you can see what's driving the total. A detail table (Pipeline health) rounds it out with the secondary metrics and their deltas. Every number is computed from the exact formulas shown in the metric table below. Composites are derived from their components, not pasted in, so the KPI tiles, breakdowns, and totals all reconcile to each other.

Illustrative data

Open pipeline

$9.43M▲ 12.9%
Data ▾
PeriodOpen Pipeline
Jan$6.20M
Feb$6.70M
Mar$6.39M
Apr$7.99M
May$7.76M
Jun$8.64M
Jul$8.73M
Aug$8.04M
Sep$9.35M
Oct$8.32M
Nov$8.35M
Dec$9.43M

Pipeline coverage

7.7×▲ 8.6%
Data ▾
PeriodPipeline Coverage
Jan7.7×
Feb8.1×
Mar7.4×
Apr8.9×
May8.3×
Jun8.9×
Jul8.6×
Aug7.6×
Sep8.5×
Oct7.3×
Nov7.1×
Dec7.7×

New pipeline

$2.96M▼ 9.2%
Data ▾
PeriodNew Pipeline
Jan$1.61M
Feb$1.78M
Mar$2.17M
Apr$2.53M
May$2.26M
Jun$2.36M
Jul$2.93M
Aug$3.09M
Sep$3.05M
Oct$2.56M
Nov$3.26M
Dec$2.96M

Avg sales cycle

37 days▼ 9.2%
Data ▾
PeriodAvg Sales Cycle (days)
Jan52
Feb51
Mar50
Apr51
May51
Jun45
Jul41
Aug42
Sep41
Oct43
Nov40
Dec37

Open pipeline over time

6,000,000 6,500,000 7,000,000 7,500,000 8,000,000 8,500,000 9,000,000 9,500,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodOpen Pipeline
Jan$6.20M
Feb$6.70M
Mar$6.39M
Apr$7.99M
May$7.76M
Jun$8.64M
Jul$8.73M
Aug$8.04M
Sep$9.35M
Oct$8.32M
Nov$8.35M
Dec$9.43M

New pipeline by stage

Discovery Evaluation Proposal Negotiation 0 200,000 400,000 600,000 800,000
Data ▾
StageNew Pipeline
Discovery$972K
Evaluation$711K
Proposal$775K
Negotiation$507K

Booked revenue trend

700,000 800,000 900,000 1,000,000 1,100,000 1,200,000 1,300,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$738K
Feb$759K
Mar$844K
Apr$929K
May$1.06M
Jun$992K
Jul$940K
Aug$962K
Sep$982K
Oct$1.08M
Nov$1.08M
Dec$1.27M

Pipeline health

Win Rate61.9%▲ 6.4%
Avg Deal Size$9K▲ 0.7%
Pipeline Coverage7.7×▲ 8.6%
✦ Fi
Anything else I can do for you?
You
Why did pipeline coverage drop below 3x this month?Which segment is creating the most new pipeline, and which went quiet?Show me the deals that slipped out of this quarter's commit.What is coverage if win rate drops to the trailing three-month average?Break pipeline out by owner instead of stage.Trace this month's new pipeline back to the opportunities created in Salesforce.Show coverage against next quarter's target, not just this one.Break new pipeline by segment and flag any segment that dropped more than 20%.Add pipeline velocity by stage so I can see where deals are stalling.
  • Why did pipeline coverage drop below 3x this month?
  • Which segment is creating the most new pipeline, and which went quiet?
  • Show me the deals that slipped out of this quarter's commit.
  • What is coverage if win rate drops to the trailing three-month average?
  • Break pipeline out by owner instead of stage.
  • Trace this month's new pipeline back to the opportunities created in Salesforce.
  • Show coverage against next quarter's target, not just this one.
  • Break new pipeline by segment and flag any segment that dropped more than 20%.
  • Add pipeline velocity by stage so I can see where deals are stalling.
First version in a dayFree to start, flat pricingNo infrastructure to set up
§ Why the numbers tie out

Every metric traces back to your systems

This is the part a BI tool can’t fake. Each metric is defined once, in your warehouse, from a specific object in a specific source. Change the definition in one place and every tile, report, and answer moves with it. So the number on the screen is the number in the source.

Salesforce
◆ DealOpen PipelinePipeline CoverageNew PipelineAvg Sales Cycle (days)Booked Revenue (Closed Won)Win RateAvg Deal Size
◆ ActivityAvg Sales Cycle (days)
Hubspot
◆ DealOpen PipelinePipeline CoverageNew PipelineAvg Sales Cycle (days)Booked Revenue (Closed Won)Win RateAvg Deal Size
Pipedrive
◆ DealOpen PipelinePipeline CoverageNew PipelineAvg Sales Cycle (days)Booked Revenue (Closed Won)Win RateAvg Deal Size
◆ ActivityAvg Sales Cycle (days)
MetricWhat it measuresHow it's calculatedSources
Pipeline CoverageThe early-warning gauge on the forecast: how many times your open pipeline covers the quota you have to hit.Open Pipeline ÷ QuotaSalesforce, Hubspot, Pipedrive
Win RateThe cleanest read on sales effectiveness: the share of decided deals you win, won divided by won-plus-lost.Won Deals ÷ (Won Deals + Lost Deals)Salesforce, Hubspot, Pipedrive
Avg Deal SizeBooked revenue per closed-won deal, the lever between volume and value.Booked Revenue (Closed Won) ÷ Won DealsSalesforce, Hubspot, Pipedrive
§ Then do something about it

Have our agent watch for you

A pipeline dashboard tells you what happened, and Fi tells you why. The last step is not having to remember to check. Point Definite at the one number you can’t afford to miss, and it watches that number for you off the same definitions as your dashboard. When it moves, you hear about it before the next review instead of during it. One metric, one action, always reversible.

Autonomous agent · watch churn
Watch
A metric you choose
net revenue churn
→
Judge
One condition
> 5% week-over-week
→
Act
One action
alert #revenue + open doc
◄──── then waits · cooldown 24h before it can act again ────
Scoped to a single metric and a single action. You arm it; you can disarm it anytime.
§ The data that powers it

Built from whatever you already run on

Connect the systems you already use. Any source of these types works, and you don’t move data into a warehouse, because Definite is the warehouse.

No warehouse to stand up or connect. See how the platform models your data →

§ Get started

Build your pipeline dashboard

From signup to a working dashboard in one sitting. No data team required.

01

Sign up

Free to start. No credit card, no infrastructure to set up.

Create your account →
02

Connect your sources

Stripe, your CRM, accounting. Definite syncs and models them automatically.

03

Decide your metrics

Pick the numbers that matter or let Fi propose them from your data. Every metric gets one definition, governed in one place.

04

Ask Fi to build it

Describe what you need in plain language. Fi builds the dashboard, and you refine by asking follow-ups.

§ FAQ

Common questions

Usually because each CRM view filters deals differently. Salesforce pipeline reports often exclude certain stages or use a different close date logic than the weekly export. The reconciliation map above shows which CRM object each metric comes from, so there is one definition of pipeline and coverage, modeled in your warehouse instead of re-derived from a filtered CRM view.
Your CRM as the system of record for deals, stages, and owners (Salesforce, HubSpot, or Pipedrive). Definite syncs the CRM, models the pipeline into governed metrics, and ties coverage and velocity back to the opportunities that produced them.
Pipeline coverage is the ratio of open pipeline to quota. It answers whether there are enough deals in play to hit the number at the current win rate. When coverage and win rate come from the same governed definitions, the forecast is math, not opinion.
It is a live ECharts dashboard running on a deterministic synthetic dataset, labeled illustrative. Coverage is computed as open pipeline over quota, velocity from deal stage timestamps, each by the formula in the metric table. Connect your CRM and Fi builds the same view from your deals.
A dashboarding tool visualizes whatever data you give it. This is the output of a governed pipeline model: the CRM is synced, the stage definitions are modeled once, and coverage and velocity trace back to the opportunities. The difference matters because a dashboard is only as reliable as the export it was built on.
Tell Fi what you need, the way the prompt above reads. Fi models the pipeline on your connected CRM, proposes the metrics, and you refine by asking follow-ups. No SQL, no analyst queue, no waiting for the weekly export.

Your answer engine
is one afternoon away.

Book a 30-minute call and watch us build your first dashboard live, with your own data.