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Your Pipedrive pipeline dashboard, forecast grounded in the deals.

Open pipeline, coverage, new pipeline created, and stage velocity modeled from Pipedrive Deals, Deal Stage Movements, and Organizations, so the forecast traces back to the pipeline your reps are working.

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

What’s in a pipedrive pipeline dashboard?

A Pipedrive pipeline dashboard is the single governed view of the revenue the sales team is building toward, modeled from Pipedrive Deals and Deal Stage Movements. Open pipeline is the sum of active Deal values, coverage is that sum against quota, new pipeline counts Deals created in the period, and velocity is derived from Deal Stage Movement timestamps. Every number traces to a Pipedrive object in your warehouse.

Pipedrive's built-in pipeline views re-derive numbers on the fly with different stage filters and rotting settings, so the number in the weekly review rarely matches the number in the forecast deck. When open pipeline, coverage, and velocity are modeled once from Pipedrive Deals in your warehouse, 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 use Pipedrive and own the forecast and pipeline review.

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

Built fromPipedrive

§ 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
Show me pipeline health from our Pipedrive deals — open pipeline, coverage against target, new pipeline created this month, and how fast deals are moving through stages.
✦ Fi
Here's your pipedrive pipeline dashboard, on your 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

$9.82M▲ 4.2%
Data ▾
PeriodOpen Pipeline
Jan$6.96M
Feb$7.20M
Mar$6.35M
Apr$6.86M
May$7.20M
Jun$8.02M
Jul$7.55M
Aug$8.54M
Sep$8.10M
Oct$9.53M
Nov$9.43M
Dec$9.82M

Pipeline coverage

8.0×▲ 0.2%
Data ▾
PeriodPipeline Coverage
Jan8.7×
Feb8.7×
Mar7.3×
Apr7.6×
May7.7×
Jun8.2×
Jul7.5×
Aug8.1×
Sep7.4×
Oct8.4×
Nov8.0×
Dec8.0×

New pipeline

$3.48M▲ 9.7%
Data ▾
PeriodNew Pipeline
Jan$1.75M
Feb$2.11M
Mar$2.29M
Apr$2.52M
May$2.14M
Jun$2.54M
Jul$2.23M
Aug$2.69M
Sep$2.36M
Oct$3.17M
Nov$3.17M
Dec$3.48M

Avg sales cycle

46 days▲ 0.1%
Data ▾
PeriodAvg Sales Cycle (days)
Jan46
Feb49
Mar40
Apr41
May49
Jun44
Jul45
Aug43
Sep44
Oct47
Nov46
Dec46

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 10,000,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodOpen Pipeline
Jan$6.96M
Feb$7.20M
Mar$6.35M
Apr$6.86M
May$7.20M
Jun$8.02M
Jul$7.55M
Aug$8.54M
Sep$8.10M
Oct$9.53M
Nov$9.43M
Dec$9.82M

New pipeline by stage

Discovery Evaluation Proposal Negotiation 0 200,000 400,000 600,000 800,000
Data ▾
StageNew Pipeline
Discovery$917K
Evaluation$956K
Proposal$796K
Negotiation$810K

Booked revenue trend

600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 1,800,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$869K
Feb$918K
Mar$948K
Apr$765K
May$780K
Jun$741K
Jul$787K
Aug$1.19M
Sep$1.22M
Oct$1.18M
Nov$1.25M
Dec$1.67M

Pipeline health

Win Rate60.8%▲ 16.0%
Avg Deal Size$15K▲ 6.7%
Pipeline Coverage8.0×▲ 0.2%
✦ Fi
Anything else I can do for you?
You
Why did pipeline coverage drop below 3x this month?Which Organizations are creating the most new pipeline in Pipedrive?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 Deals created in Pipedrive.Show coverage against next quarter's target using our Pipedrive pipeline stages.Break new pipeline by Organization segment and flag any that dropped more than 20%.Add velocity by Pipedrive stage so I can see where deals are stalling in the funnel.
  • Why did pipeline coverage drop below 3x this month?
  • Which Organizations are creating the most new pipeline in Pipedrive?
  • 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 Deals created in Pipedrive.
  • Show coverage against next quarter's target using our Pipedrive pipeline stages.
  • Break new pipeline by Organization segment and flag any that dropped more than 20%.
  • Add velocity by Pipedrive stage so I can see where deals are stalling in the funnel.
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.

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 ÷ QuotaPipedrive
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)Pipedrive
Avg Deal SizeBooked revenue per closed-won deal, the lever between volume and value.Booked Revenue (Closed Won) ÷ Won DealsPipedrive
§ Then do something about it

Have our agent watch for you

A pipedrive 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.

Agents for this stack
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 pipedrive 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

Pipedrive's pipeline views apply rotting, probability weighting, and stage filters that change depending on which view you open. The reconciliation map above shows which Pipedrive 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 Pipedrive view.
Pipedrive as the system of record for Deals, Stages, Organizations, and Deal Stage Movements. Definite syncs Pipedrive, models the pipeline into governed metrics, and ties coverage and velocity back to the deals that produced them.
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 Movement timestamps, each by the formula in the metric table. Connect Pipedrive and Fi builds the same view from your deals.
Tell Fi what you need, the way the prompt above reads. Fi models the pipeline on your connected Pipedrive account, proposes the metrics, and you refine by asking follow-ups. No SQL, no analyst queue, no waiting for the weekly export.
Deal rotting is a Pipedrive UI concept that dims stale deals but does not change the underlying data. This dashboard models staleness from Deal Stage Movement timestamps directly, so you see actual days-in-stage rather than a rotting flag, and you can set your own threshold.

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