Global Talent Visa (Digital Technology – Exceptional Promise) — Evidence Review (MC, OC1, OC2, OC3)
Hi everyone,
I would really appreciate feedback on whether my evidence is well structured and sufficiently strong for the Global Talent Visa (Digital Technology – Exceptional Promise) route. I have anonymised company names for confidentiality.
BACKGROUND (BRIEF)
• Role: Technology Product Manager
• Experience: 5 years across product-led digital technology companies
• Domain focus: Large-scale e-commerce platforms, digital product delivery, and applied data/AI
• Education: MSc in Data Science
PROFESSIONAL VISIBILITY
• I do not currently have LinkedIn thought-leadership posts
• I have a small number of Medium articles (treated as supporting context only)
• I maintain a GitHub profile with data science work (Python, EDA, statistical analysis, ML) supporting my MSc research and applied projects
LETTERS OF RECOMMENDATION (PLANNED – 3)
• Senior product/technology leader from Company A
• Senior leader from Company B
• Academic referee familiar with my MSc research and conference presentation
(All letters will be on letterhead, signed, dated, and describe my role, impact, and future potential.)
MANDATORY CRITERION (MC) — RECOGNITION AS A POTENTIAL LEADER
Evidence:
• Public research output based on my MSc project on cyberattack patterns in e-commerce platforms, published as an arXiv preprint (indexed and cross-referenced by academic discovery platforms)
• Best Oral Presentation award at a university research conference for presenting this work
• Supporting materials: award certificate, conference details, attendance certificate, and presentation recording screenshot
Purpose:
To demonstrate external, third-party recognition beyond my employment and clear potential for leadership in digital technology through applied research.
OPTIONAL CRITERION 1 (OC1) — INNOVATION
Project 1: E-Marketer Platform (Company B)
• Contribution to the design, feature definition, and deployment of a digital marketing platform
• Evidence includes: product wireframes, feature scope/requirements, deployment timeframe, screenshots of the live product where accessible, and leadership confirmation of my role
• I exited approximately one year after deployment, so long-term performance metrics are not accessible
Project 2: Express Delivery Feature (“KongaNow”) (Company A)
• Product contribution to the definition and rollout of an express delivery option integrated into a large-scale e-commerce platform
• Evidence includes: feature specification/PRD, delivery flow screenshots, roadmap or delivery artefacts, and confirmation of my role
• This is positioned as innovation through the introduction of a new customer-facing delivery capability rather than long-term growth metrics
Purpose:
To demonstrate innovation through the creation and rollout of new digital product capabilities in product-led technology businesses.
OPTIONAL CRITERION 2 (OC2) — RECOGNITION BEYOND DAY-TO-DAY WORK
Evidence:
• External academic speaking at a university research conference
• Best Oral Presentation award (judged and competitive)
• Supporting materials: certificate and conference documentation
Note:
This is my primary outside-work recognition, and I would welcome feedback on whether this is sufficient for OC2 under Exceptional Promise.
OPTIONAL CRITERION 3 (OC3) — SIGNIFICANT TECHNICAL / COMMERCIAL CONTRIBUTION
Company A (Large-scale E-commerce Platform)
Evidence:
• Leadership confirmation outlining my responsibility for product outcomes
• Delivery ownership artefacts (e.g. redacted Jira tickets, acceptance records) showing I drove specific high-impact features to completion
• Product-led initiatives with measurable impact, including:
– Redesign of the web interface and checkout flow, with changes propagated across web and app experiences
– Integration of an external AI-powered customer support/chat solution into the production platform
• Impact evidence where available: redacted KPI/dashboard snapshots or internal summaries (e.g. conversion, engagement, support efficiency). Where metrics are sensitive, impact is supported through leadership confirmation plus delivery artefacts tied to releases
QUESTIONS FOR THE COMMUNITY
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Does this distribution of evidence across MC, OC1, OC2, and OC3 look appropriate for the Exceptional Promise route?
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Is it acceptable to rely on leadership confirmation and delivery artefacts for OC3 where some metrics are commercially sensitive?
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Does the absence of LinkedIn thought-leadership materially weaken an Exceptional Promise application if other evidence is strong?
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Is there any expectation or informal guidance around how recent media or public-facing evidence (e.g. talks, publications, online references) should be for Exceptional Promise?
Thank you very much for your time and insights.
Best regards,
Adenike