(Part 2) Best products from r/ProductManagement

We found 20 comments on r/ProductManagement discussing the most recommended products. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 36 products and ranked them based on the amount of positive reactions they received. Here are the products ranked 21-40. You can also go back to the previous section.

Top comments mentioning products on r/ProductManagement:

u/ryry9379 · 2 pointsr/ProductManagement

Mostly because I wanted to analyze baseball stats, and at the time (4-5 years ago) that was mostly done in R. If the last industry conference I went to is any indication, it still is, many of the presentations features plots that were clearly ggplot2. There are also books like this one floating around: https://www.amazon.com/Analyzing-Baseball-Data-Chapman-Hall/dp/1466570229/ref=nodl_.

u/kentzler · 3 pointsr/ProductManagement

You mean “Swipe to Unlock”? I’m interested in the book as well.

u/MrAndrew · 1 pointr/ProductManagement

The Mom Test is quite succinct and makes some excellent points about what questions to ask and why https://www.amazon.co.uk/dp/B01H4G2J1U/ref=cm_sw_r_cp_apa_Io.jzbVEPG44Z

u/lost_in_blizzard · 1 pointr/ProductManagement

Play up the business analyst aspect, especially as it will show your abilities to read the market, and paw through user data for your product and understand how it's being used by the general public.

Here's a book that speaks to the topic:

http://www.amazon.com/How-Get-Job-Product-Manager-ebook/dp/B00ROILLLS/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1453701858&sr=1-1&keywords=how+to+get+a+job+as+a+product+manager

u/Themarciproject · 1 pointr/ProductManagement

That's fine. I don't want the Stanford Comp-Sci major that went to Google and then made his way. I'm looking for the Smartcut, if you will. If you didn't catch reference: https://www.amazon.com/dp/B00IHZUTGA/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1

Not undermining your achievements - just making the point that your path seems most similar to mine, so I'm trying to model myself accordingly.

Sounds familiar re: 1st gig (implementation, trying to go to product, experiencing frustration).

That's more than fine with me. I'll PM you.

u/tteg_pm · 1 pointr/ProductManagement

The Product Manager's Desk Reference by Steven Haines (I heard rumors he is creating a 3rd edition)

u/PullThisFinger · 1 pointr/ProductManagement

Your title indicates knowledge of quality/reliability standards are going to be a critical need, right?

Find the Q&R standards that are used by aerospace firms & bookmark them.

It also helps to become familiar with the math underlying many statistical reliability concepts. I ran across this one (The New Weibull Handbook) a few days ago::

https://www.amazon.com/Handbook-Reliability-Statistical-Predicting-Supportability/dp/0965306232

Amazon wants WAY too much for this, but I found an earlier edition elsewhere.

u/BiscuitKnees · 1 pointr/ProductManagement

You might check out this new book specifically for B2B product management:

Building Products for the Enterprise: Product Management in Enterprise Software https://www.amazon.com/dp/1492024783/ref=cm_sw_r_cp_api_i_47iaBbRW61B49

u/throwaway13894873 · 2 pointsr/ProductManagement

https://www.amazon.ca/Industrial-Organization-Strategies-Paul-Belleflamme/dp/0521681596 the last few chapters of this go into it in some detail. There are many papers on the subject though. Industrial Organization + Two sided markets should turn up a lot of results.

u/brownegg1971 · -1 pointsr/ProductManagement

I've not been asked in those terms, but it sounds like an Agile/Waterfall question.

A lot of the verbiage sucks but this is my base process answer-book: https://www.amazon.com/Agile-Project-Management-Creating-Innovative/dp/0321658396

u/jazybp · 4 pointsr/ProductManagement

I would recommend that you:

  • Find some benchmarks for your industry. For example, if you pick B&Q here in the UK (they sell DIY stuff), I would assume they have a low conversion rate because the biggest use case for their website is to look up an item before heading to the physical store to buy it... vs Someone like ASOS who exclusively sell clothes online.
  • Once you know the delta between where you're performing vs your industry average, I would start to focus on the areas that you're losing the most amount of traffic that has an intent to convert.
  • If possible, do some user research, observe people going through your funnel to see where the biggest pain points and stumbling points are (as Analytics tools aren't going to tell you that).
  • Then make changes one at a time to measure the impact, or alternatively run some A/B or Multi-variant tests to find out the changes that will move your metrics.
  • One watch out to think about other metrics that are important, such as av. spend or % of users who opt for a premium subscription... As you can boost conversion, but you could lower these and you could end up net negative.

    I'd recommend you give Lean Analytics a read if you haven't had the opportunity to do so.