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A public research university needed faster department onboarding.
A public research university needed faster department onboarding.

Higher education · Salesforce Strategy

A public research university needed faster department onboarding.

Our first plan was a reusable package. Discovery found the delivery process had to come first.

Three Salesforce orgs, several hundred CRM licenses, and a central team already fully committed to day-to-day support. Bringing on a single department was taking between eight and sixteen months, and more than a dozen were waiting. The university secured budget specifically to shorten that.

12+ Departments
waiting

Beyond those already live
on the shared service

8–16 Months per
department

Estimated onboarding time
before the engagement

3 Onboardings
underway

Running concurrently,
with capacity to spare

At A Glance

Why they started
What we built together
Impact
A queue of departments waiting to get onto Salesforce, a central team already fully committed to day-to-day support, and budget secured specifically to shorten onboarding time.
A seven-stage onboarding playbook, a written baseline of the existing delivery process, and a reusable template set covering intake, scoping, user stories, testing, and adoption.
A standardized process across teams, with clearer expectations for stakeholders and more visibility into the work. Three onboardings now run concurrently, with departments ready and waiting behind them.
Why they started

A queue of departments waiting to get onto Salesforce, a central team already fully committed to day-to-day support, and budget secured specifically to shorten onboarding time.

What we built together

A seven-stage onboarding playbook, a written baseline of the existing delivery process, and a reusable template set covering intake, scoping, user stories, testing, and adoption.

Impact

A standardized process across teams, with clearer expectations for stakeholders and more visibility into the work. Three onboardings now run concurrently, with departments ready and waiting behind them.

Industry

Higher education

Services

Salesforce strategy and governanceDelivery process designBusiness analysis

Client environment

Salesforce CRM, three orgsMarketing CloudExperience Cloud
Surface Media

Why they started

A queue of departments, and no spare hours to move them

A public research university runs Salesforce as a shared institutional service. Three centrally supported orgs covering several hundred CRM licenses and tens of thousands of community portal licenses, with several colleges running their own orgs alongside.

Two groups share the service. An institutional planning group owns the business relationship with each department. The central IT office owns the platform. Between them they run the queue of departments waiting to get onto Salesforce, alongside day-to-day support work. The team covers the full range of the work: two enterprise application admins, two developers, a QA analyst, and a scrum coach. It is also fully committed. The constraint was never capability. It was the hours available to redesign a process while continuing to run it.

Bringing on a single department was taking between eight and sixteen months. More than a dozen were waiting. The university secured budget specifically to shorten that, and that is what brought CUBE84 in.

The written brief was direct about the reason. They wanted a Salesforce consultant’s help to speed things up so the Office of IT team could work through the queue rather than redesign the process around it. The stated goals were fewer high-touch service hours, shorter time to launch, and better adoption after go-live.

Case study

“Through our work with CUBE84, we have been able to standardize our process between teams, which allows us to set better expectations with our stakeholders, and bring more transparency to our work.”

– Manager, Enterprise CRM, at a public research university

The approach

The engagement started as a package build and changed during discovery

The original plan was straightforward. Review the Salesforce orgs, find the parts of department onboarding that repeat, and build a reusable package so each new department was not a fresh build.

Discovery changed the plan. One detail settled it: user testing scripts were being written first, and user stories were being derived from them afterwards. Requirements were arriving through the test layer. Building a package on top of that sequence would have made the wrong process faster.

The client pushed back at first, and reasonably so. The engagement had been scoped and priced as a package build, and changing the plan mid-engagement is not a small ask.

What resolved it was repositioning the offer rather than withdrawing it. Instead of a reusable package built on a process that was not yet stable, CUBE84 proposed reusable templates, for BRDs, user stories, and prioritization, that would surface the real onboarding process first. That reframing is what carried the decision.

What discovery found

Ten discovery sessions across autumn 2025, plus weekly check-ins running through to the start of 2026.

Stage
Observed condition
Intake
Requests arrived by web form or direct email. Detail varied, so the team ran exploratory calls to collect baseline information that could have been captured at submission.
Qualification
A technical fit checklist and a strategic fit checklist existed, both reviewed conversationally with no shared scoring. An older weighted scoring matrix existed but was never put into use.
Analysis
Depth varied by analyst. Current state was documented; the future state in Salesforce rarely was. No repository of past work existed to reuse, and no defined point marked analysis as complete.
Implementation
No traceability ran from process documentation to user story to test scenario. Story-level visibility sat with the IT team, so business stakeholders could not see progress.
Testing and training
Testing was live and heavily facilitated by the IT team. With no defect taxonomy, usability questions were logged as bugs. Training materials were built fresh for each department.
Go-live and after
No defined hypercare window, and no adoption measurement after go-live. Where usage dropped off in the weeks following launch, there was no mechanism to detect it.
Intake

Requests arrived by web form or direct email. Detail varied, so the team ran exploratory calls to collect baseline information that could have been captured at submission.

Qualification

A technical fit checklist and a strategic fit checklist existed, both reviewed conversationally with no shared scoring. An older weighted scoring matrix existed but was never put into use.

Analysis

Depth varied by analyst. Current state was documented; the future state in Salesforce rarely was. No repository of past work existed to reuse, and no defined point marked analysis as complete.

Implementation

No traceability ran from process documentation to user story to test scenario. Story-level visibility sat with the IT team, so business stakeholders could not see progress.

Testing and training

Testing was live and heavily facilitated by the IT team. With no defect taxonomy, usability questions were logged as bugs. Training materials were built fresh for each department.

Go-live and after

No defined hypercare window, and no adoption measurement after go-live. Where usage dropped off in the weeks following launch, there was no mechanism to detect it.

The last row carries the most weight. Onboarding effort only returns value if the department is still using the system months later, and nothing in the process was set up to confirm that.

What we handed over

Two documents and a set of working templates, produced without configuring anything in Salesforce. Seven stages defined, and ten established practices given a documented replacement.

01

The onboarding playbook.

A seven-stage model covering intake, qualification, analysis, implementation, testing and training, go-live, and post-go-live adoption. Each stage carries its purpose, what CUBE84 observed, what to do instead, who owns it, and the benefit to expect.

02

The as-is process document.

A written baseline of how the university delivered Salesforce work before the engagement, covering six stages and naming the tools and roles at each one.

03

Sample artifacts.

Reusable templates built against a real use case, centralized event management: a discovery questionnaire, a SIPOC Lite worksheet, a functional scope document, user stories, a data dictionary, to-be process diagrams, and a standing assumptions and constraints document.

What changed

Ten practices, each with a documented replacement

The university has been running the new process for nearly a year. Rollout is ongoing, and the changes below are at different stages of adoption.

Before
After
Requests arrive by web form or direct email, with detail varying by department
A single structured intake with required baseline fields, so the first call is a conversation rather than a data-collection exercise
Fit assessed conversationally against two checklists, with no shared scoring
Five weighted categories producing a score out of 100, with three thresholds returning an immediate advance, hold, or redirect decision
No defined point at which analysis is complete
Entry and exit criteria at every stage gate
Future state in Salesforce rarely documented
A finalized current-state documentation template set, delivering to the CRM service in a consistent format and on schedule
No traceability from process documentation to user story to test scenario
A documented chain running from SIPOC through to-be process to user story to test scenario
Usability questions logged as defects
A five-part taxonomy separating defects, expected behavior, usability concerns, enhancement requests, and training gaps
User testing facilitated live by the IT team for every department
A two to five day self-test window with office hours and a formal readout
No defined hypercare window, and adoption not measured
A fixed hypercare period with a defined exit, plus business reviews at 30 and 60 days to confirm departments are using the system as intended
Every department configured from scratch
A core configuration expected to fit 60 to 70 percent of a typical department, with delta work built on top
No one owning requirements capture for onboarding
Named roles at each stage, including a business analyst function
Before

Requests arrive by web form or direct email, with detail varying by department

Fit assessed conversationally against two checklists, with no shared scoring

No defined point at which analysis is complete

Future state in Salesforce rarely documented

No traceability from process documentation to user story to test scenario

Usability questions logged as defects

User testing facilitated live by the IT team for every department

No defined hypercare window, and adoption not measured

Every department configured from scratch

No one owning requirements capture for onboarding

After

A single structured intake with required baseline fields, so the first call is a conversation rather than a data-collection exercise

Five weighted categories producing a score out of 100, with three thresholds returning an immediate advance, hold, or redirect decision

Entry and exit criteria at every stage gate

A finalized current-state documentation template set, delivering to the CRM service in a consistent format and on schedule

A documented chain running from SIPOC through to-be process to user story to test scenario

A five-part taxonomy separating defects, expected behavior, usability concerns, enhancement requests, and training gaps

A two to five day self-test window with office hours and a formal readout

A fixed hypercare period with a defined exit, plus business reviews at 30 and 60 days to confirm departments are using the system as intended

A core configuration expected to fit 60 to 70 percent of a typical department, with delta work built on top

Named roles at each stage, including a business analyst function

Where the impact shows up

The work the central team no longer does by hand:

Walking each department through user testing live, session by session.

Rebuilding training material from scratch every time.

Triaging usability complaints as if they were defects, then explaining the difference.

Running exploratory calls to collect intake information a form could have captured.

Answering progress questions from business stakeholders who cannot see the work.

What the team reports so far

Current-state documentation now arrives from the business analyst in a consistent format and on time. Departments are ready and waiting to be onboarded, and three onboardings are running with capacity left at the end of the program increment.

A central repository holds onboarding resources, with debriefs after each onboarding feeding updates back into it.

The qualification tool now identifies which department to onboard next against defined criteria, making sequencing objective and simpler.

A consistent demo, train, and test loop is familiarizing users earlier, with fewer support tickets during hypercare.

Asynchronous user testing with office hours gives users time to think about usability and returns meeting time to the team.

A growing library of user stories and test scenarios.

Business reviews at 30 and 60 days confirm departments are adopting the system as intended.

What the team built on top

Some of the strongest parts of the current process were not in the playbook. The team built the central repository, added the post-onboarding debrief that feeds it, developed the qualification tool further than the original scoring model, extended adoption checks to 60 days, and started a shared library of user stories and test scenarios. The playbook gave the structure. The team made it theirs.

Customer success illustration

“For the first time since I have been here, we have units [departments] ready and waiting to be onboarded.”

- Manager, Enterprise CRM, at a public research university
 The partnership
                Built with the university, not delivered to them
                Ten discovery sessions ran across autumn 2025, with weekly check-ins through to the start of 2026. The team reviewed the playbook, returned feedback in December 2025, and signed it off by email.
     The partnership
                Built with the university, not delivered to them
                Ten discovery sessions ran across autumn 2025, with weekly check-ins through to the start of 2026. The team reviewed the playbook, returned feedback in December 2025, and signed it off by email.
    Quote icon

The partnership

Built with the university, not delivered to them

Ten discovery sessions ran across autumn 2025, with weekly check-ins through to the start of 2026. The team reviewed the playbook, returned feedback in December 2025, and signed it off by email.

What is next

The university continues to roll out the model, with more of the playbook still to implement. A second phase has been discussed: joining a live onboarding, working directly with the departments rather than only the central team, auditing the Salesforce orgs, and packaging what proves genuinely repeatable.

Let’s Connect

FAQs

Usually the delivery process, not the platform. Configuration is rarely the long pole. The time goes into requirements churn, unscheduled user testing facilitation, training built fresh each time, and rework after go-live. At a public research university we worked with, onboarding a single department was taking eight to sixteen months, with more than a dozen departments waiting. After the delivery process was rebuilt, the same team had three onboardings running concurrently with capacity to spare. Before setting a target, measure where the current elapsed months actually go. The answer usually surprises the team running it.
Decide it on governance capacity, not on architecture preference. A shared org only pays off if there is a defined intake, a scoring model for sequencing, and named ownership at each stage. Without those, consolidation moves the bottleneck rather than removing it, and colleges route around it. One central CRM service we worked with runs three centrally supported orgs covering several hundred CRM licenses and tens of thousands of community portal licenses, with several colleges running their own orgs alongside. That is a normal and workable state. The question worth asking first is whether the central service can absorb the queue it already has.
Split it. The business owner holds the relationship with each department and decides what gets built. IT owns the platform, the standards, and the release path. One split that works: the business relationship sits with an institutional planning group, the platform with the central IT office. Where this goes wrong is the space between them, when nobody owns the point at which analysis is complete and a request is ready to build. That gap is where onboarding time accumulates.
Yes, but not before the delivery process is stable. A reusable package encodes whatever process it is built on. One engagement we ran began as a package build and changed during discovery, because user testing scripts were being written first and user stories derived from them afterwards. Requirements were arriving through the test layer. Packaging that would have made an unreliable process faster rather than better. Once stages, artifacts, and handoffs are defined, the repeatable parts become visible and worth packaging.
Stages with entry and exit criteria, a qualification model that produces a comparable score across requests, named ownership at each stage, a reusable artifact set covering intake through testing, a defect taxonomy, a hypercare definition, and adoption metrics. What makes it specific to universities is the variation: departments arrive with genuinely different processes and very different levels of readiness, and the academic calendar constrains when training and go-live can realistically happen. One playbook we built runs seven stages. The test of a good playbook is whether two different people running it produce comparable work.
With a scoring model rather than a conversation. Weighted criteria produce a comparable number across requests, which makes sequencing defensible to the departments that have to wait. Without one, prioritization defaults to whoever asked most recently or most loudly, and the teams with the least internal pull wait longest.
Treat go-live as the middle of the process rather than the end. The common failure is a department that launches, gets no structured support, and quietly stops using the system within weeks, by which point the full onboarding cost has been spent and nothing returned. Three things prevent it: a hypercare window with a defined exit rather than an open-ended one, a small set of adoption metrics agreed before launch, and a scheduled business review that checks whether the department is using the system as intended. One university CRM team we worked with runs those reviews at 30 and 60 days. If nobody is looking at usage after launch, adoption is not being managed, it is being assumed.
Asynchronously, with support available rather than scheduled. Live facilitated sessions consume the central team's time and force users to test on the project's calendar rather than their own. The alternative is a short self-test window, two to five days, with office hours during it and one formal readout at the end. It also helps to separate defects from usability concerns, expected behavior, enhancement requests and training gaps, because otherwise everything lands in the same queue and developers spend their time triaging questions instead of fixing bugs. One central team we worked with moved to this model and reports both fewer meeting hours and fewer support tickets during hypercare.
No. A playbook governs what happens before and around delivery: how a request is qualified, what is documented, how testing runs, what happens after go-live. Iteration mechanics stay as they are. One university running SAFe adopted a playbook alongside it without changing iteration mechanics.

Onboarding teams onto a shared Salesforce org?

We can walk you through what we found on this engagement, and what we would check first in your environment.

Start a conversation
Onboarding teams onto a shared Salesforce org?Onboarding teams onto a shared Salesforce org?

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