01 / evaluation
One is a broader reach because free product spread itself is lower barrier to entry.
“One is a broader reach because free product spread itself is lower barrier to entry.”
- Speaker
- Hila Qu
- Publisher
- Lenny's Podcast
Public evidence record
Published podcast speaker
Claim ledger
15 transcript-backed records
01 / evaluation
“One is a broader reach because free product spread itself is lower barrier to entry.”
02 / belief
“I think there are, if you search on Google just the data dictionary, or data product usage, data audit, a lot of companies published template and spreadsheet you can use.”
03 / belief
“I would say usually the cross-functional team, the tiger team, is a little bit prior to a full commitment.”
04 / belief
“I would say north star metric, because I find it's not only valuable to growth, it's valuable to just everything.”
05 / belief
“I would say the defense company, defense software company is a pretty extreme example. And of course in those case, I don't think it makes sense, but I think majority of B2B software, I've seen, you've seen, we've used even some more complicated ones.”
06 / observation
“Some of the early stage companies I work with, when they just get started in the very beginning, they don't have data warehouse.”
07 / prediction
“I would think so because let's say if you are in the sales motion dominated kind of traditional B2B software industry, your competitors will be adding PLG, as soon as they add it they will have a benefit of attracting more end users and end users become case to the employer, to the clients.”
08 / evaluation
“I think PLG the term become popular because traditionally in B2B, word sales is the main motion.”
09 / commitment
“Because if the initial focus area is, let's say, they want to do a product qualified lead, or basically add that funnel. That involves not only product team, that will involve data team because you want to know what are the usage pattern that indicate these is better leads.”
10 / evaluation
“As I mentioned, a lot of B2B software, they're really lacking in that, because when you sell via sales team, you don't need to know so many details, so granular usage data, all of that.”
11 / recommendation
“The consumers shouldn't be confused about complicated pricing, where to find all of that, so that's a place always worth investing, testing more, because that's revenue so close to be added into your book. And then the PQL/PQA part, the other more-complicated path, I would say that's something you want to figure out activation and self-checkout a little bit, and you want to have some reasonable user number and then invest there, otherwise it can be a little bit jumping too fast and jumping too ahead.”
12 / recommendation
“It's like he doesn't know whether to trust the data, what to use. So a lot of company I work with, the first step is maybe not looking into tool, but do an audit of your data instrumentation situation, to understand how many of the key actions are intact, is the format correct, is the data, what are the gaps?”
13 / recommendation
“So activation, conversion, usually are two great place to start. And then from there, I would say think about your PQL/PQA, motion, which is the other conversion pass, which is if you also want to have sales blended into this, right, product-led sales motion, how do you set up the structure, the foundation so that you can know what are some data signal to tell you those are better leads?”
14 / recommendation
“I can only gauge from other indicators. So I think one thing I would say about building habit is think about how to build those habit feature or collaboration feature into your workflow already, into the product already.”
15 / evaluation
“Usually a lot of discussion, like how many people get to the aha moment, how many people started self-checkout and being successful. And then like that between my experience from a user perspective and the data, we usually immediately begin to see, oh, this is the biggest opportunity.”