Your HubSpot customer success dashboard, tied to every ticket.

Ticket volume, resolution time, CSAT, and first response time modeled from HubSpot tickets, companies, and engagements, with Zendesk for satisfaction ratings and queue depth.

See how to build one in Definite
What’s in a hubspot customer success dashboard?

What’s in a hubspot customer success dashboard?

A HubSpot customer success dashboard is the single governed view of how well your support organization resolves issues, built from HubSpot ticket objects, company records, and engagement history. Resolution time comes from ticket pipeline timestamps, account context from deals and owners, and the satisfaction layer from linked survey responses or Zendesk ratings.

HubSpot shows ticket counts in one report, deal health in another, and engagement history in a third. When ticket volume, resolution time, and CSAT are modeled from the same HubSpot objects and reconciled with Zendesk satisfaction data, you manage the team on real numbers and catch the resolution time spike before it becomes a renewal risk.

Who it’s forVP CS, support leads, and heads of customer experience who use HubSpot to manage the queue and the satisfaction number.

CadenceRefreshed daily; reviewed in the weekly support standup and before quarterly reviews.

Built fromHubspot, Zendesk

§ 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 customer success from our HubSpot tickets and companies — ticket volume, resolution time, CSAT, and first response time, with the account context from deals and engagements.
✦ Fi
Here's your hubspot customer success dashboard, on your Hubspot and Zendesk data.
Here’s what’s in it

The top row leads with the 4 numbers that matter most: Ticket volume, CSAT, Avg resolution time, First response time. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (Ticket volume over time, CSAT trend) show how the headline numbers have moved over time. A breakdown (Tickets by channel) splits the metric by dimension so you can see what's driving the total. A detail table (Support 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

Ticket volume

3.0K▲ 1.2%
Data ▾
PeriodTicket Volume
Jan1.5K
Feb1.6K
Mar2.2K
Apr1.8K
May1.9K
Jun1.9K
Jul2.7K
Aug2.8K
Sep2.5K
Oct3.1K
Nov2.9K
Dec3.0K

CSAT

9389.1%▼ 3.2%
Data ▾
PeriodCSAT
Jan8474.6%
Feb8927.5%
Mar8816.4%
Apr8985.0%
May9188.1%
Jun9070.9%
Jul9543.7%
Aug9524.8%
Sep9594.2%
Oct9480.5%
Nov9694.6%
Dec9389.1%

Avg resolution time

7▼ 8.8%
Data ▾
PeriodAvg Resolution Time
Jan10
Feb9
Mar9
Apr8
May7
Jun8
Jul8
Aug8
Sep7
Oct6
Nov8
Dec7

First response time

1▲ 19.8%
Data ▾
PeriodFirst Response Time
Jan2
Feb2
Mar1
Apr1
May1
Jun1
Jul2
Aug1
Sep2
Oct1
Nov1
Dec1

Ticket volume over time

1,200 1,500 1,800 2,100 2,400 2,700 3,000 3,300 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodTicket Volume
Jan1.5K
Feb1.6K
Mar2.2K
Apr1.8K
May1.9K
Jun1.9K
Jul2.7K
Aug2.8K
Sep2.5K
Oct3.1K
Nov2.9K
Dec3.0K

Tickets by channel

Paid Search Paid Social Organic Email Referral 0 100 200 300 400 500 600 700
Data ▾
ChannelTicket Volume
Paid Search311
Paid Social513
Organic729
Email684
Referral729

CSAT trend

84 86 88 90 92 94 96 98 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodCSAT
Jan8474.6%
Feb8927.5%
Mar8816.4%
Apr8985.0%
May9188.1%
Jun9070.9%
Jul9543.7%
Aug9524.8%
Sep9594.2%
Oct9480.5%
Nov9694.6%
Dec9389.1%

Support health

Resolution Rate92.6%▲ 9.9%
Avg Resolution Time7▼ 8.8%
NPS54▲ 4.9%
✦ Fi
Anything else I can do for you?
You
Why did first response time spike last week across our HubSpot ticket pipelines?Which HubSpot companies have the most open tickets, and are any of them up for renewal this quarter?Which ticket pipeline has the worst resolution time, and is it the same one with the lowest CSAT?Show me the HubSpot tickets behind the CSAT dip in March.What is our resolution rate if I exclude HubSpot tickets reopened within 24 hours?Trace this month's CSAT back to the satisfaction ratings in Zendesk for our top HubSpot accounts.Break ticket volume by HubSpot pipeline and flag any pipeline where first response time is over two hours.Add resolution rate by company segment so I can see if enterprise accounts are handled differently in HubSpot.Show CSAT trend from Zendesk alongside HubSpot resolution time to see if faster resolution is improving satisfaction.
  • Why did first response time spike last week across our HubSpot ticket pipelines?
  • Which HubSpot companies have the most open tickets, and are any of them up for renewal this quarter?
  • Which ticket pipeline has the worst resolution time, and is it the same one with the lowest CSAT?
  • Show me the HubSpot tickets behind the CSAT dip in March.
  • What is our resolution rate if I exclude HubSpot tickets reopened within 24 hours?
  • Trace this month's CSAT back to the satisfaction ratings in Zendesk for our top HubSpot accounts.
  • Break ticket volume by HubSpot pipeline and flag any pipeline where first response time is over two hours.
  • Add resolution rate by company segment so I can see if enterprise accounts are handled differently in HubSpot.
  • Show CSAT trend from Zendesk alongside HubSpot resolution time to see if faster resolution is improving satisfaction.
§ 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.

TicketTicket VolumeAvg Resolution TimeFirst Response TimeResolution Rate
TicketTicket VolumeAvg Resolution TimeFirst Response TimeResolution Rate
Satisfaction RatingCSAT
MetricWhat it measuresHow it's calculatedSources
Resolution RateTickets Resolved ÷ Ticket VolumeHubspot, Zendesk
§ Then do something about it

Have our agent watch for you

A hubspot customer success 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 hubspot customer success 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 HubSpot counts a resolved ticket on the pipeline-stage change date, while CSAT from Zendesk surveys may lag by hours or days. The reconciliation map shows which object each metric comes from, so there is one definition of resolution time modeled in your warehouse.
HubSpot for tickets, companies, deals, and engagement history. Zendesk for satisfaction ratings and queue-level metrics. Definite syncs and models both so ticket performance ties back to account health.
It is a live ECharts dashboard running on a deterministic synthetic dataset, labeled illustrative. Resolution rate is computed as tickets resolved over ticket volume by the formula in the metric table. Connect your HubSpot and Zendesk and Fi builds the same view from your data.
Type a prompt like the one above. Fi connects your HubSpot and Zendesk, models the support metrics from ticket objects and satisfaction ratings, and you refine by asking follow-ups. The first version ties performance back to the queue without a spreadsheet.
Yes. HubSpot deals and company records provide the account context — renewal dates, contract value, owner — so you can prioritize tickets from accounts that are up for renewal or have the highest ARR.

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