10 Questions for Evaluating a Higher Ed Drupal Migration Partner
Yasmeen Abuerrub
April 12, 2026
Updated on:
August 17, 2026
Evaluate a higher ed Drupal migration partner on three things a generic vendor review misses: whether they have worked inside distributed departmental governance, whether they design for your team's independence rather than their own retention, and whether their migration approach leaves you able to adopt AI without exposing student data. The ten questions below test each of those.
Higher ed IT and marketing teams often evaluate a Drupal migration partner the same way they would vet any software vendor, focusing on technical specs and implementation timeline.
That's a mistake. Drupal migrations in higher ed surface specific risks that generic evaluations miss: governance complexity across multiple stakeholder groups (faculty, departments, admissions, advancement), accreditation and accessibility compliance requirements built into the platform, and long-term capability needs that extend beyond typical IT staff turnover cycles.
These 10 questions are drawn from real migration scenarios. They are designed to separate partners with institutional experience from those executing from a playbook.
Strategy and Environment
Two questions that establish whether the partner understands what they are walking into before they quote a number.
1. Walk Me Through How You Assess Our Legacy CMS. What Specifically Do You Look For?
Experienced partners describe how they evaluate content governance debt across multiple departments and stakeholder groups, identify technical and organizational barriers, and separate what must be fixed from what can be carried forward. Vague mentions of a kickoff audit are a red flag.
Red flag for higher ed: Partners who don't ask about faculty workflows, content approval chains, or departmental autonomy haven't worked in higher ed environments.
2. What's the Typical Budget Range for a Migration Like Ours, and What Drives Variance?
Transparent partners give ranges based on scope factors they have already identified, including multi-year implementation cycles, the number of departments and content owners involved, accreditation compliance work, accessibility remediation, and training for distributed faculty groups. They are upfront about where contingency is needed. Evasive partners say "it depends" without explaining why.
Higher ed reality: Budget often depends on whether your institution's capital planning process allows phased spending or requires a single allocation.
Risk and Execution
Four questions that test whether the partner has institutionalized process or is relying on individual competence.
3. Walk Me Through a Specific Critical Issue You Hit During Migration. How Did You Handle It?
This reveals incident management discipline. Partners with institutionalized processes can describe a real example of how they communicated, who decided on the fix, and what it cost. Generic answers mean they haven't learned from failures, or don't document them.
Higher ed consideration: Ask specifically about issues that arose with faculty content, publishing workflows, or user access during a migration. These are the most common pain points in academic environments.
4. How Do You Build Capability Transfer So Our Team Can Maintain Drupal Long-Term?
This is your vendor lock-in test. Strong partners invest in your team's independence through training, documentation, and gradual knowledge transfer. Partners who avoid the question are designing for dependency, not partnership.
5. What's Your Governance Framework During and After Migration?
Governance determines whether your Drupal system stays maintainable in a decentralized higher ed environment. Strong answers cover:
Departmental content ownership and approval chains
Faculty publishing workflows
Role-based access control
Metadata standards that support searchability and accreditation reporting
Documentation standards describing how all of the above is enforced after go-live, not just during the project
This matters in higher ed: Your partner should have a template or framework for multi-department governance, not ask you to invent it from scratch.
6. Can You Share 3 to 5 Comparable Migrations? What Went Well and What Was Harder Than Expected?
Vague answers or refusals to name projects are warning signs. You want recent, comparable examples, specifically other higher ed institutions of similar size, with similar numbers of departments and content owners, plus references who will answer honestly about both sides of the experience.
Ask references specifically: How did the partner handle faculty adoption? Were there surprises around departmental workflows or approval processes?
Partnership and Long-Term
Four questions about what happens after the launch party, which is where higher ed migrations succeed or quietly fail.
7. What Does Success Look Like at Month 6 and Month 12, Not Just at Go-Live?
Partners committed to outcomes define success beyond launch: stabilization periods, performance baselines, content completeness across departments, and measurable goals tied to your institutional objectives. Partners who define success as go-live tend to be transactional.
Higher ed context: Success should account for the academic calendar. Don't measure adoption in summer when faculty are scattered; plan for the fall semester as your real adoption window.
8. How Do You Handle Scope and Budget Changes Mid-Project?
Look for documented change request processes, adjusted timelines, and transparent budget reconciliation. Partners who make ad hoc changes without documentation will quietly erode your budget and timeline.
9. Who Will Actually Be on Our Project Team? Are They Permanent or Rotating?
Named individuals with consistent presence build accountability and context. Rotating junior staff is a cost-cutting move that hurts project continuity.
In higher ed, this is critical: Ask for bios of the people you'll actually work with, not just the account lead on the pitch. Specifically: does the team include someone with higher ed experience? How long have core team members worked together? Will the same Drupal architect be present from discovery through post-launch training?
10. How Does Your Migration Approach Position Us for AI Readiness?
This question separates partners who have thought strategically about your institution's AI future from those who treat migration as a one-time technical project. Strong answers describe:
Content architecture that enables AI applications (structured data, metadata standards, API layers) without sacrificing governance
How they would structure access controls to prevent unauthorized AI model training on sensitive or proprietary institutional content
What documentation and processes they would hand off so your team can safely experiment with AI tools post-launch
Good partners also acknowledge the complexity of governance: AI systems can hallucinate, misattribute sources, or expose student data if not carefully managed.
Higher ed consideration: Ask specifically about student privacy and data protection. How does their approach ensure student information stays protected if an AI system accesses your Drupal content? Partners with a privacy-aware, governance-first AI framework understand the realities of higher education. Partners who say "we'll figure that out later" haven't done the work.
How Should You Score the Answers?
Score each answer on specificity rather than on enthusiasm. Partners who answer with detail and acknowledge trade-offs have built systems that work. Partners who deflect, generalize, or redirect to their own expertise have not.
A practical scoring approach for a committee evaluation:
2 points: named specifics. A real example, a named person, a documented process, or a number they can defend.
1 point: a credible framework described in general terms, without a specific instance behind it.
0 points: reassurance. "We handle that," "every project is different," or a redirect to a capability slide.
Weight questions 4, 5, and 9 most heavily. Capability transfer, governance, and team continuity are the three answers that predict whether the platform is still maintainable in year three, and they are the hardest to fix after a contract is signed. Question 2 on budget variance is the best early signal of honesty, because a partner willing to explain where a number could move is a partner who has been through the variance before.
One note on scoring across a committee: have each evaluator score independently before comparing. Higher ed selection committees tend toward consensus early, and a partner who presents well can carry a room past a weak answer on question 4.
Where Do These Questions Fit in an RFP?
Not all in the same place. Questions 1, 2, and 6 belong in the written RFP, because they need considered answers and documentary evidence. The rest belong in the finalist interview, because what you are testing is whether the answer holds up under a follow-up.
Written RFP: questions 1, 2, and 6. Assessment approach, budget range with variance drivers, and comparable migrations with references.
Finalist interview: questions 3, 4, 5, 7, 8, 9, and 10. These reward improvisation under pressure, which is exactly the signal you want.
Reference calls: re-ask questions 3, 7, and 9 to the reference rather than the partner. The gap between the two answers is the most informative data point in the whole process.
These questions reflect exactly what we would expect a rigorous higher ed buyer to ask us. Three commitments sit behind our answers.
Team Continuity
The same people from discovery through go-live and faculty training. Not an account lead who hands off after signature.
Governance Built Before Content Moves
A defined framework accounting for departmental autonomy, multi-stakeholder workflows, and privacy-aware AI integration, agreed during the Align and Blueprint phases of the Vardot Delivery System rather than assembled after launch.
Success Measured at 6 and 12 Months
A structured post-launch support model tracking faculty adoption, departmental content completeness, and your readiness to experiment with AI applications, not a go-live date and a handover document.
On question 6, our comparable work in higher ed includes Georgetown University. Vardot is a Drupal Diamond Certified Partner with 200+ platforms launched, a 4.9/5 Clutch rating across 58+ verified reviews, standing among the top 20 Drupal contributors worldwide, and Gold Sponsorship of the Drupal AI Initiative, which is the basis on which we answer question 10.
Use these as your minimum bar, whoever you evaluate. If you'd like us to answer them directly, we're happy to.
Yasmeen is a Drupal Developer and Technical Lead with 9 years of experience building and maintaining Drupal websites. She enjoys solving technical challenges, improving development processes, and working closely with teams to deliver reliable digital solutions.
Higher ed migrations involve distributed governance across multiple departments and stakeholders, accreditation and accessibility compliance requirements, faculty adoption challenges, and IT staff turnover that extends beyond typical project cycles. Generic evaluation checklists miss these specific risks, leading to post-launch capability gaps and governance failures.
Look for partners who describe governance-first AI integration (not AI-first), explain how they'd protect student data from unauthorized AI model training, and provide documentation your team can use to safely experiment with AI tools post-launch. Partners who say "we'll figure AI out later" haven't done the work.
Partners who refuse to name specific comparable projects (without confidentiality as the stated reason) or who can't describe what went well and what was harder than expected haven't learned from their experience or aren't willing to be transparent about it.
Higher ed governance is complex and stakeholder relationships matter rotating junior staff breaks continuity and forces your team to re-explain context repeatedly. Named, permanent team members build accountability and understand your institution's departmental dynamics and faculty workflows throughout the engagement.
