Diagnosis Before Commitment
No broad delivery before understanding the challenge and context.
Institutional Consulting Solutions
Consulting Tracks That Move Digital Education From Scattered Initiatives to Measurable Institutional Impact
I deliver institutional consulting for universities and e-learning teams across Saudi Arabia and the GCC. Each track begins with a realistic diagnosis, moves through co-design and phased delivery with knowledge transfer, and ends with measured impact — verifiable outcomes, not generic promises.
DiagnosisImplementationInstitutional Impact
3Consulting Tracks
4Integrated Phases
100%Measurable Outcomes
Clear Pathways
Three specialized tracks selected for your institution's needs.
Measurable Impact
Defined indicators and deliverables — not generic promises.
Which Track Fits Your Institution?
Identify Your Starting Point
Select the scenario closest to your institutional reality to understand which track fits and what it includes.
Track 1: Educational Digital Transformation
This track fits you if your institution has digital components that are fragmented, or lacks a clear vision and unified governance for its digital learning ecosystem.
Multiple systems with no integration or unified standards
No clear digital transformation roadmap
Weak digital impact measurement indicators
Tech initiatives disconnected from educational goals
Track 2: AI-Powered Programs & Course Design
This track fits you if your institution has traditional content to redesign, or needs to develop new programs with quality standards built on clear learning outcomes.
Weak engagement and low completion rates
AI adoption without a clear pedagogical framework
Assessment misaligned with declared learning outcomes
Need for personalized adaptive learning paths
Track 3: Capacity Building in AI in Education
This track fits you if your institution wants to empower faculty, teachers, or development teams to use AI effectively and ethically in teaching, learning, and assessment.
Staff not using AI tools effectively in their roles
Ethical and policy concerns blocking institutional adoption
High administrative and assessment burden on faculty
Need for a clear institutional AI usage policy
Consulting Tracks
The Three Tracks in Detail
Each track is a complete engagement system — not a list of services, but a process of diagnosis, design, implementation, and measurement.
Challenges It Addresses
- Multiple systems with no integration or standards
- Absent strategic vision and governance
- Weak impact measurement indicators
- Tech initiatives disconnected from learning goals
- Low institutional digital readiness
Possible Scope of Work
- Current state analysis and digital readiness assessment
- Stakeholder analysis and gap identification
- Strategy formulation and roadmap design
- Governance model and KPIs
- Change management and capacity plan
- Implementation monitoring and evaluation
Final Deliverables
- Digital Readiness Diagnostic Report
- Strategy and Vision Document
- Detailed Phased Roadmap
- Governance Model with roles and authorities
- KPI Matrix
- Implementation and Monitoring Plan
Available Sub-Modules
- LMS and infrastructure readiness assessment
- E-learning policy review
- Blended Learning model design
- Transformation team capacity plan
- Periodic progress reporting framework
Expected Impact
An integrated digital ecosystem connecting technical investment to educational goals, with full clarity on roles, indicators, and impact measurement mechanisms. Note: Final scope is determined after the diagnostic session.
Challenges It Addresses
- Weak engagement and low completion rates
- No personalization aligned to learner needs
- Digitized but not redesigned content
- Assessment misaligned with learning outcomes
- AI adoption without a pedagogical framework
- Poor integration of content, activities, and assessment
Possible Scope of Work
- Course/program analysis and design gap review
- Learning outcomes and instructional structure design
- Scenario, activity, and assessment design
- Personalization and learning analytics integration
- AI agents or RAG integration when needed
- Quality testing and team training
Final Deliverables
- Comprehensive Instructional Design Document
- Content Map and Learning Outcomes Matrix
- Learning Scenarios and Activity Templates
- Aligned Assessment Plan
- Prototype or Complete Digital Course
- Quality and Operations Guide
Supported Platforms
- Moodle · Blackboard · Canvas
- D2L Brightspace · Google Classroom
- Custom platforms (after assessment)
- SCORM / xAPI / cmi5 standards
- AI tools (Gemini, Claude, RAG tools)
Expected Impact
Learning programs with higher completion and satisfaction rates, content that adapts to learner needs, and complete documentation ensuring sustainability and continuous improvement. AI is the means — the learning goal is the measure.
01
Awareness
02
Applied
03
Advanced
04
Leadership
Possible Topics
- AI in Education Fundamentals
- Prompt Engineering for Educators
- Designing AI-Powered Activities
- Building Intelligent Assessments
- Ethical and Responsible AI Use
- Building Learning Support Agents
- Learning Analytics and Institutional Policy
Final Deliverables
- Training program tailored to institutional context
- Applied workshops with real projects
- Ready-to-use toolkits and guides
- Applicable usage models
- AI in Education Competency Framework
- Training impact transfer plan
Expected Impact
Staff capable of using AI competently and ethically, with real applied products ready for immediate institutional use — not just theoretical awareness. Duration and scope are determined after needs analysis.
Specialist Support Services
Services That Complement the Three Tracks
Specialist services that can be embedded within any track, or requested independently when needed.
E-Learning Course Quality Review
Review against an 8-axis framework covering design, interaction, assessment, accessibility, and impact.
Track 02: Programs →LMS Review and Selection
Comparative analysis of platforms based on institutional needs, KPIs, and total cost of ownership.
Track 01: Digital Transformation →Assessment System Design
Building an assessment framework aligned with learning outcomes, covering methods, tools, and criteria.
Track 02: Programs →Learning Analytics & Dashboards
Power BI dashboards showing learning indicators with improvement recommendations.
Track 01 + 02 →Accreditation and Quality Advisory
Supporting institutional readiness for national and international accreditation of e-learning programs.
Track 01: Transformation →Policy and Guideline Design
Developing AI usage guidelines, privacy policies, and ethics frameworks for the institution.
Track 03: Capacity →AI in Education Project Review
Evaluating the readiness of AI in Education projects before broad institutional adoption.
Track 02 + 03 →Academic & Research Development
Supporting faculty in applied research projects in educational technology and AI in education.
Track 03: Capacity →
A Real-World Example
Case Study: Raising Training Program Completion
The Challenge
A Training Center Struggling with 60% Completion Rates and Weak Learner Engagement
Doroob Al-Mustaqbal partnered with Dr. Mohamed El-Mahdi to redesign their digital training programs from the ground up — starting with needs analysis and learning outcomes, through applying Microlearning and xAPI tracking on a customized LMS.
Track: Programs & Courses View Similar Projects95%
Completion rate after redesign
(was 60%)
(was 60%)
4.8/5
Trainee satisfaction achieved
25%
Reduction in operational costs
Engagement Methodology
How We Work Together — Five Phases
Every project follows a clear methodology with sequential steps and shared approval milestones, ensuring the transition from diagnosis to impact with your team's participation at every phase.
Discovery & Diagnosis
We review your current digital learning ecosystem together, conduct stakeholder interviews, and analyze available data to identify gaps and priorities.
Activities
Interviews, document review, data analysis, readiness assessment
Deliverable
A clear diagnostic report with priorities and gaps identified
✓ Milestone: Review diagnostic report and agree to proceed
Scoping & Prioritization
We define together the exact scope of work, measurable objectives, timeline, and resources required from both parties before any implementation begins.
Activities
Scoping workshop, KPI definition, project planning
Deliverable
Scope document and detailed plan with phases and indicators
✓ Milestone: Both parties sign off on scope and KPIs
Design & Prototyping
We co-design solutions with your team — not pre-packaged fixes. We build and test prototypes before full implementation to validate the design direction.
Activities
Co-design workshops, prototype development, validation sessions
Deliverable
Design documents and approved prototypes
✓ Milestone: Review prototypes and approve design direction
Implementation & Knowledge Transfer
We implement in clear phases with regular reports and flexibility to adjust based on early outcomes, alongside continuous support and team training for sustainability.
Activities
Phased implementation, knowledge transfer workshops, team support
Deliverable
Final product + trained internal team for ongoing management
✓ Milestone: Institution accepts deliverables and knowledge transfer is documented
Measurement & Continuous Improvement
We measure actual impact against the agreed KPIs and deliver a final impact report linking every solution to institutional outcomes, with recommendations for sustainability.
Activities
Data collection, impact analysis, final impact report
Deliverable
Documented impact report + future development recommendations
✓ Milestone: Review impact report and approve next development phase
What Does the Institution Receive?
Tangible Deliverables, Not Generic Promises
Every project is delivered with complete documentation ensuring the institution can continue and evolve without total reliance on external consulting.
Strategic Roadmap + KPI Matrix
An executive document linking every phase to a measurable institutional goal, with a clear KPI matrix enabling leadership to track and review progress on a regular basis.
Track 01: Digital Transformation
Instructional Design Document
A complete program reference covering learning outcomes, structure, activities, and assessment.
Track 02: Programs
Governance Model
A clear structure of roles, authorities, and decision-making processes within the digital ecosystem.
Track 01: Digital Transformation
AI in Education Competency Framework
A competency matrix designed for the institutional context with assessment criteria.
Track 03: Capacity
Impact Report
Reliable documentation linking every decision to a measurable outcome against agreed KPIs.
All Tracks
Knowledge Transfer Plan
A detailed plan ensuring knowledge passes to the internal team with ready training materials.
All Tracks
Toolkits and Usage Guides
Ready-to-apply reference materials — policies, templates, and operational guides.
Track 02 + 03
What Defines This Approach?
Six Factors That Define the Value of This Collaboration
Academic Depth Meets Execution Expertise
25+ years bridging rigorous academic research with real-world institutional project execution.
Technology in Service of Learning Goals
AI is a means to achieve clear educational outcomes — not technology for technology's sake.
Evidence-Based Design
Every design decision grounded in proven research and best practices in learning science and educational technology.
Knowledge Transfer & Sustainability
Every engagement teaches the institution's team — creating independence, not prolonged external dependency.
Measurement & Continuous Improvement
What cannot be measured cannot be improved — every engagement begins and ends with verifiable indicators.
Regional & Linguistic Context
Deep understanding of the institutional context in the Arab region with full bilingual support.
Solutions Designed for Different Institutional Contexts
Each engagement is adapted to institutions across Saudi Arabia and the GCC — their context, initiative stage, current capability, and required outcome.
Universities & Colleges
Strategy, digital courses, governance, and quality.
Diagnostic report and roadmap or programme design. Explore the related pathwayE-Learning Units
Integrated operations, standards, and KPIs.
Governance framework and KPI matrix. Explore the related pathwayTraining Centres
Applicable programmes and transfer measurement.
Programme design and measurement plan. Explore the related pathwayQuality & Accreditation Teams
Standards, readiness evidence, and improvement.
Gap analysis, checklists, and improvement plan. Explore the related pathwayGovernment & Education Organisations
Connected and governable digital initiatives.
Operating model and priority-risk roadmap. Explore the related pathwayLearning Product Teams
Safe, intelligent, and measurable learning UX.
Use cases, specifications, and prototype. Explore the related pathwayFlexible Ways to Start
The engagement model is selected after clarifying the challenge and scope, without assuming duration or cost before diagnosis.
Diagnostic Session
To clarify the problem, priority, and first step.
Diagnostic summary and pathway recommendation. Start with this modelOr try the AI Diagnosis Tool firstIndependent Review
For an existing initiative, course, or platform.
Structured findings, gaps, and priorities. Start with this modelConsulting or Delivery Project
For a defined scope requiring design, delivery, or enablement.
Agreed deliverables, delivery plan, and knowledge transfer. Start with this model
Frequently Asked Questions
Answers That Help You Decide
Straightforward, concise answers helping decision-makers understand the nature of engagement before reaching out.
How do I identify the right track for my institution?
Start with the track selector above, then book an initial diagnostic session. In that session, we discuss the actual challenge and identify the right track and initial scope together — before any commitment from either party.
Can we implement only part of a track?
Yes. Every track can be phased based on priority and budget. For example, you might start with only the diagnostic phase, or focus on a specific module. The precise scope is determined after the initial diagnostic session.
Are services delivered remotely or on-site?
Most work is delivered remotely via Microsoft Teams or Google Meet. Workshops and field visits may be on-site depending on the nature of the project — agreed upon during planning.
What data or documents are needed to begin the diagnosis?
No complex preparation required. Typically needed: a brief description of the challenge or goal, any existing documents (strategy, reports, program structure), and access to an internal point of contact. A detailed checklist is provided after the initial session.
Can we work alongside our internal team?
Collaboration with the internal team is not optional — it is a core pillar of the methodology. Every project is designed to teach and empower your team, not replace them. Knowledge transfer and sustainability are central objectives in every engagement.
How is project impact measured?
Every project begins by defining KPIs agreed upon by both parties — such as completion rates, learner satisfaction, grading time, or accreditation readiness. At project close, an impact report is delivered linking every solution to a measurable outcome. What cannot be measured cannot be improved.
Does the work include knowledge transfer and training?
Yes, always. Every project includes a knowledge transfer component: workshops, reference documentation, orientation sessions, or training kits — according to the nature of the work. The goal is for your institution to continue development independently.
How are project duration and cost determined?
No fixed pricing — every project is built according to the exact scope, institution size, required deliverables, and timeline. After the diagnostic session, a detailed proposal is provided with scope, phases, and cost. Engagement can be a full project or a specific module.
Can services be customized for a university or training center?
Customization is not an add-on — it is the foundational methodology. No pre-packaged solutions are applied uniformly. Every project begins from analyzing the specific institutional context — public or private university, training center, corporation, or government body.
How is institutional data and educational material protected?
All collaboration is governed by an explicit confidentiality agreement. The institution's data and learner information are used exclusively within the agreed project scope and are not shared with any third party. Intellectual property of all deliverables belongs entirely to the institution.
A Question Not Listed Here?
Happy to answer any inquiry about the nature of engagement or track fit for your context. Response within 24 business hours.
Get in Touch
The Next Step
Start by Diagnosing the Challenge Before Choosing the Solution
The initial session is focused solely on understanding your institutional challenge, identifying the right track, and agreeing on an initial scope — with no prior commitment required. Response within 24 business hours, with full confidentiality for all information shared.
Free diagnostic session·
Via Teams or Meet·
Full confidentiality·
Response within 24 hours