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of all the apps on my phone, i probably would find difficult to go through my day to day life if i didnt have Whatsapp on my phone. I really admire the way Whatsapp as a platform has evolved. It was probably one of the main reasons why people in India were first exposed to Internet and smartphones in the first place. It enabled simple communication between peers, creation of micro communities in the form of groups, removes barriers of language by introducing voice chat, voice calls and video calls, and now have also introduced payments and B2B marketing tools. So without this app, it would be really difficult for me to stay in touch with my family or work group of even the business i do right now. If i were to improve on something, i'd love to see how the whatsapp AI evolves. Currently it has a very limited functionality - maybe write some texts, answer simple questions, draw some images etc. Since this is one of the most important app for me on my phone, i'd like it to evolve as a personal assistant for me, taking notes, blocking calendar meetings, finding things on internet etc 

MVP for Maintenance module where all maintenance work was tracked for the vessels. While it was lift and shift but challenge was identifying the gaps and prioritizing correct features to provide MVP. For example, I brainstormed certain features like equipment maintenance, work orders, were most important than some reports.. I also realized that some authentications, system preferences were also missing which holds highest importance. There was also a feature where it would automatically tell which maintenance work is upcoming. I developed a report of my findings and came up with high impacted features that were missing. The effort was estimated, and high impact low effort took first seat in the roadmap followed by high effort features. Early Adopter mechanism

Result: There was 80% parity achieved w.r.t. legacy system for high impact features and 30% of targeted adoption was achieved for Maintenance module.

In my role leading the launch of that new customer onboarding system, the pressure was really on. We had that tight three-month window and a lean team to build something that would be the first impression for all our new users. One specific hurdle we faced was integrating our legacy customer database with this brand-new system. The data structures were quite different, and initially, the data migration process was proving to be much slower and more error-prone than anticipated. This threatened to push our launch date.

To tackle this head-on, I didn't just delegate. I dove into the technical details with the lead engineer. We mapped out the data fields meticulously, identified the key transformation rules needed, and actually prototyped a more efficient data migration script using Python. This allowed us to automate a significant portion of the process that was previously manual.

Furthermore, to ensure we were building the right thing quickly, we implemented very short feedback loops. We'd build a small piece of the onboarding flow, get immediate feedback from a small group of internal users, and iterate based on their input. For example, early on, users found a particular step in the registration process confusing. Based on their feedback, we completely redesigned that screen within a couple of days, leading to a much smoother experience.

By getting into the technical weeds to optimize the data migration and by relentlessly focusing on user feedback through rapid iterations, we not only overcame the risk of a delayed launch but also delivered an onboarding experience that was significantly more user-friendly than initially envisioned. It was incredibly rewarding to see new customers move through the system so smoothly right from day one. That success really underscored the power of combining technical problem-solving with a user-centric approach

S（Situation）：在2024年9月底，我所在团队灰度上线了一个重要新功能。上线不久后，我们注意到产品的 NPS 分数出现了明显下滑。我的老板非常担心这个变化是由我们新功能引起的，因此建议我们暂停功能的进一步上线。

T（Task）：考虑到我们灰度期间已经收到不少正向的用户反馈和行为数据，我担心贸然暂停功能会影响节奏，并可能误判问题根源。我希望找出 NPS 下滑的真正原因，并用更稳妥的方式推进问题解决。

A（Action）：我首先分析了 NPS 下滑的时间节点，发现其发生在我们功能上线之前。结合用户评价存在滞后性的特点，我判断两者未必直接相关。随后我深入分析了近期的低分评价和客服 ticket，发现主要问题集中在打印出错、页面崩溃等历史遗留的功能性 bug。
我将这些发现整理成文档分享给老板，建议我们先优先修复这些问题，并继续观察 NPS 变化。同时，我也请他指出是否存在新功能相关的反馈痛点，以便一并跟进优化。我们快速完成了 hotfix，并验证后上线。

R（Result）：两周内，NPS 分数从 xx 回升到 xx（如能填具体更好），我们功能也顺利推进至全量发布，后续使用量增长了 xx%。老板也认可了我们以数据驱动决策的方式，对我在这件事中的判断力和推进力给予了肯定。

I have more than a decade experience working as customer success engineer in which I tried my best to solve a customers problem. During this course I have interacted with several product engineering and product managers and worked very closely with them. I aspired to be a product manager because I wanted to solve a customers problem even before they realized it by understanding their use case, feature requirement, motivation to use a product. I found this role to be very challenging and exciting as I have to think more like a customer than an engineer trying to solve a problem, identify their persona and how I can ease their day to day job. So when I eventually got an opportunity in my past organization to work as a product manager I took it.