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A first-year Computer Science student. My first lesson: find where the student is stuck, then explain.
lesson #1From tutoring desks to fintech and AI products.
A first-year Computer Science student. My first lesson: find where the student is stuck, then explain.
lesson #1My first product job. One big question: after people open the e-wallet, do they really use it?
Bill payments, top-ups, movie tickets, insurance, affiliate. I learned how to keep many partners happy at the same time.
Built AI products for businesses from zero: CS Tech and Chat for Enterprise. Coached 3 product owners.
Building credit products at a digital bank.
to be continuedIn the newsCode is not the goal. Solving real-world problems is the mission.
"It's fine to be wrong, as long as you're wrong fast, learn fast and fix fast."
From my interview with UIT, my university · Oct 2025 Read the article (Vietnamese) ↗
Real problems I worked on at MoMo, Sea and an AI startup. Internal numbers and details stay private. The problems and the approach are real.
Showing all 18 cases
Sounds like you?People download your app, but many never finish setup or make a first payment.
ResultActivation went from 13% to 35%. Time to activate dropped to 3 days.
Sounds like you?Users stop halfway through setup and forget about you.
ResultA reusable set of lifecycle messages the growth team ran every month.
Sounds like you?Many users try one feature, then go quiet.
ResultA clear list of retention levers, each with its cost and expected effect.
Sounds like you?You need a burst of new users at a key moment, at a cost you can defend.
ResultLắc Xì brought 2–3x more new users at peak. Anti-fraud rules lowered acquisition cost.
Sounds like you?You need to connect many outside partners, and each one works differently.
Result40+ releases across bill payment, top-ups, movie tickets and entertainment.
Sounds like you?Your finance team checks partner payments by hand in spreadsheets, and month-end takes days.
ResultLess manual checking for finance ops, and partners paid on time.
Sounds like you?When a partner goes down, you only find out from angry users.
ResultProblems caught early, and campaigns kept running even when one provider failed.
Sounds like you?People join your partner program, then disappear.
ResultA ranked list of activation and retention fixes that shaped the next year's roadmap.
Sounds like you?Every new partner campaign needs developers, so your team can't move fast.
ResultBusiness teams launch and adjust programs themselves, in days instead of dev cycles.
Sounds like you?You want to sell partner services in your app, but every partner has its own system and rules.
ResultNew partner products on the app without building a new flow for each partner.
Sounds like you?Your account managers talk to hundreds of partners through personal chat apps, and nothing is tracked.
ResultAccount managers reach more affiliates with less effort, and the company keeps the relationship.
Sounds like you?Your new POs are smart, but it takes them months to work on their own.
ResultNew POs got up to speed faster and could own their product areas.
Sounds like you?You want to launch an AI product, but there are no customers yet to tell you what to build.
ResultSeveral releases live, with a clear way to check trust before scaling up.
Sounds like you?Customers want your AI to use data from their CRM or ERP, and every integration needs a developer.
ResultIntegrations that customer admins can set up themselves.
Sounds like you?Your support team answers the same questions all day, across web chat, Facebook, Zalo and email.
ResultA no-code support product that a business can set up on its own.
Sounds like you?Your AI demo looks great, but you can't prove it's correct, safe and private.
ResultEvery release is judged against the same tests, not by "it seems fine".
Sounds like you?You need to hire product people fast, and quality depends on who writes the spec.
Result5 MVPs shipped in 10 months.
What I can shareI'm Senior Product Manager for Timo Credit. Details stay private while I work there.
Happy to talk aboutHow I think about credit products in general: risk, user trust, and clear terms.
No case matches both filters. Try another domain.
Who has it, what they are trying to do, and what happens if we don't fix it. Features come later.
If tracking is wrong, every decision after it is wrong too.
Test, compare, then ship, roll back or keep going.
Want the long version of a case? Ask me in a 1:1.
Pick the one closest to your situation. Not sure? Start with 1:1 mentoring.
New to product, or want to move into it? What to learn first, how to tell your project stories, how to get ready for interviews.
For founders and small teams who need someone to think with: what to build first, what to drop, how to hire a product owner.
We look at your funnel, onboarding, activation and retention. Together we find where users drop off and what to test first.
I review your product, your roadmap and how your team writes PRDs (product requirement documents). You get clear notes: what to keep, what to fix, what to do first.
Fill in the form below and choose what you need.
Where you are now, what is blocking you, and what you want to leave with.
We go straight to the point. After the call you get notes, so you know what to do next.
I started tutoring at university, so I remember how confusing it is to choose a path. If you study IT, business or economics and you're curious about product, book a free call.
Leave a few lines. I'll reply within 2 working days with some free time slots.
no need to prepare anything fancy