Lillian Li Profile picture
Jan 26 12 tweets 3 min read
1) To give a clear example of how I researched, framed and synthesised.

Here's a breakdown of how I put one of my pieces together - specifically on Chinese agriculture tech.

A topic I had little knowledge about beforehand but was able to write a 1,500+ piece in a week.
2) To refresh, my process is:
- Start off with tree trunk knowledge / primers
- Have key questions you are asking
- Background mental models / similar examples
- The finding additional info
- Talk to people and then talk some more

3) For the agricultural piece, I started to look for primers by googling, scanning documents quickly to see what keywords arose.
Turns out the keywords was 'Digital Agriculture' in Chinese, and once I found the particular lexicon for the field, going further was easier.
4) This is true for all fields, there will be one or two magical phrases that open up the entire space.
For tree trunk knowledge, it turned out in this case academic papers were more useful than corporate reports.
Be open to all info types and be happy to consider them.
5) Once I had read through a few academic papers, I had a good grasp of the issues. This was accelerated by my existing frameworks on agricultural market.
Which is that
- There's always a demand for food, so bottle necks are typically supply led
6) - Supply is always constrained by arable soil area
- It's often an optimisation problem between different inputs and farming processes since existing parameters are set
- Policy are often an accelerate and directional guide in China, not absolute.
7) The key questions I had while forming the tree trunk knowledge was
- What's the issue with this market that it needs reforms?
- What's the supply chain like? Aka how does it make money
- Where is there potential for tech to be accelerant?
8) The key questions guided my reading for a new topic. I didn't have to know everything, but I needed to grasp the existing economic conditions in the supply chain and who exerts power in what way.
As well as why and how it was an industry ready for a tech change.
9) You'll notice the questions I've posed are subtle refinements of each other and that because the further along the research process, the questions should be getting more narrower and precise. Not getting bigger.
This way one can zone into specific issues
10) Diagrams are my way of visualising my hypothesis at any one time from reading, but you should find the way that works for you.
I typically scribble in my notebook various shapes and linkages as I read to better clarify the relationships and my existing hypothesis.
11) In terms of talking to people and gaining additional info.
I did open Kuaishou and look specifically for farming content and also went to an agricultural conference to pick up additional information.
Look for information close to source if possible
lillianli.substack.com/p/the-product-…
12) The resulting article I'm relatively happy with, but let me know what you thought. If you found this thread useful, consider a retweet and a follow.

I'll be back in due time with another thread on Chinese tech soon.
lillianli.substack.com/p/prediction-a…

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More from @lillianmli

Jan 23
1) Question I get asked semi-frequently is how I do research / get up to speed on a new topic.

My skills were honed from 2.5 years of management consulting and ~5 years of VC. It's been invaluable since landing in China and starting to learn about Chinese tech

Let's talk how:
2) My process is the follow:
- Start off with tree trunk knowledge / primers
- Have key questions you are asking
- Background mental models / similar examples
- The art of finding additional info
- Talk to people and then talk some more
3) I think it was Wait but why who first framed that learning is about getting a good grasp of the basic shape (aka the tree trunk) before going into the details (the leaves).
This is why I start every search looking for primers on the subject in both English and Chinese.
Read 16 tweets
Jan 19
1) So ByteDance 'disbanding' their investment team is the news of the day. While it's easy to say this is because of the new regulations around investment approvals, the reality is more complicated
2) ByteDance has bi-monthly (every two month) OKR reorgs. Yep, every two months. This means an organisation that is agile at best and chaotic at worst.
Teams spin-up and spin-down with relatively high frequency.
Re-org of a whole team, even with 100 people, is not new.
3) The investment team had about 3 different heads in 3 years. From Yan Shuo who's now head of gaming to Alex Zhu of former Musicaly, and now Zhao Pengyuan (who reports to Alex Zhu). For a division, the constant change must be a reflection of it trying to find clear direction
Read 8 tweets
Dec 31, 2021
Chinese characteristics' 2021 in review with some of my most read and shared posts

lillianli.substack.com/p/chinese-char…
The most widely read piece: China, Semiconductors, and the Push for Independence - Part 1 by @JordsNel

lillianli.substack.com/p/china-semico…
The most thought-provoking piece: What I talk about when I talk about Chinese tech

lillianli.substack.com/p/what-i-talk-…
Read 7 tweets
Dec 28, 2021
1) Let's talk about the generational mental model differences in China and its impact.
Rather than talking about boomers, gen x, millennials and zoomers. Chinese media segments their population by birth year ranges with monikers of post-80s generation, post-90s and post-00s.
2) This is very fine dicing of the population but highly relevant.
Given China's fast pace change, every decade saw substantial changes in living conditions and therefore massive shifts in that generation's mindsets and values.
3) China went from a state of material scarcity in the early 1980s to high variance in affluence by the 2000s. The transition to more abundance mindsets is clearly seen with each generation.
(variance across regions applies, but this holds especially true for the top cities)
Read 8 tweets
Dec 16, 2021
1) Let's talk about how Xiaomi's one of the savviest and stealthiest Chinese tech investors bar none.

Their playbook involves selling mobiles close to margin to land a consumer, before upselling that customer on products they've invested in.

Almost Shopify for hardware
2) Xiaomi famously announced they would never make more than 5% in profit margin from hardware in 2018.
Because they see the phone as a distribution channel for their platform of products and services, the phones are cheap to basically acquire consumer 'traffic'.
3) Xiaomi carries over 2,000 consumer devices in their online and offline stores, of which it is only responsible for a select few, like TV, Xiaomi Pad and speakers.
The rest is made by 400 partner companies.
But Xiaomi isn't a simple retailer, they are a platform
Read 10 tweets
Aug 19, 2021
1) Changes in the air - pulling of idol-focused community apps, wasted milk scandal, Kris Wu's arrest, government announcement condemning fan culture.

Feels like a bigger crack-down for idols or 'traffic stars' (流量明星) is imminent.
2) Idol culture, imported from Japan and Korea, has grown rapidly in China in recent years. Some reports estimate China’s idol market to be worth RMB 100 billion ($14 billion) by 2020, with YoY growth of 60%.
3) The business model harks back to 1920s' movie studios - where studios incubate stars and secure them with exclusive contracts.
But instead of studios, it's internet media platforms and their ecosystem of trainee schools these days.
Read 12 tweets

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