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title: WBVD - PMF Survey

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# WBVD - PMF Survey

Here are some links about the "Would Be Very Disappointed" (WBVD) survey, used to measure Product-Market Fit (PMF).

<img src="https://i.imgur.com/Q6xgl3S.jpg" style="max-height: 300px; margin: 0px 20%;" />

- Sean Ellis on Scaling Authentic Growth
    - https://www.priceintelligently.com/blog/sean-ellis-on-scaling-authentic-growth
    - Sean Ellis came up with the WBVD survey and how it can yield predictive quantitative and qualitative feedback on product-market fit, and how segmenting the results can give good direction to teams looking to solve problems for key groups (types of users, decision makers, influencers, etc).
    - This talk is very good in general, and talk about other useful strategies for product teams.

- Superhuman using WBVD survey to achieve PMF
    - https://review.firstround.com/how-superhuman-built-an-engine-to-find-product-market-fit
    - This is a great article covering how Superhuman used WBVD survey to get insights into key segments of their users and achieve PMF with their target market

- Slack using WVBD survey
    - I once heard Slack used the WBVD survey in their growth + product strategy. I heard they scored >50% on "would be very disappointed if they could no longer use slack" but I haven't found an article from Slack about it.


- Third-party survey on slack users
    - https://hitenism.com/slack-product-market-fit-survey/
    - these are results of a third-party conducting a small survey of slack users to show how the survey works. It's neat in that you can do this for products you don't control.
    - The survey also shows how to 

- Counterpoint: "Is the PMF Survey Accurate?"
    - https://justinjackson.ca/product-market-fit-survey
    - This is a counterpoint blog post that discusses limitations of this survey.


- Juan's notes: key things I find valuable about the WBVD survey: 
    - It is very simple and easy to run (easy for PMs & easy to participate in)
    - It lets you clearly identify users who are on the margin about the product (dont hate it, but dont love it), which gives a gradient to optimize against. 
    - You can dive into their qualitative, open ended feedback to identify high impact problems to solve that should translate into stronger PMF, with segments that matter. 
    - It helps focus your attention: prioritize the things that convert luke-warm groups into strong advocates (instead of things that convert groups very far from liking the product into barely luke-warm supporters). 
    - You can segment the survey by key user groups and understand how you're doing on key user segments, or key influencers in various organizations (decision makers listen to their teams)
    - "WBVD" question + open-ended qualitative feedback pair very well.

