This article is the second instalment of a what will hopefully be a content collection aimed at sharing the product management practices that have enabled Atlassian to be a category leader.
In this second article, we will be focusing on how we selected lighthouse users to collaborate with and why.
These are the very practices that have led Jira Product Discovery to be the fastest growing product at Atlassian.
You can find the first part of this article here.
During the Wonder stage, Designers and Engineers from the JPD team spend a large part of their time with users on calls, support and research.
This means that when they hear directly from customers about their circumstances and their struggles, they can better empathise with them and they really want to help.
If you present the team with a persona or an Ideal Customer Profile, it is understandable if they can’t relate. Most times, a persona or ICP does not feel real.
There are 2 aspects that matter in identifying your lighthouse users
Are you learning enough from your interactions with them?
What are the criteria you’re looking for in choosing them?
Over time, the idea is that you keep learning about who you’re building for, and find people you believe are representative of that.
We did not get this right the first time round. Quite the opposite in fact.
We conducted 2 rounds of research to uncover these dimensions so we could be confident in knowing who we were exploring these opportunities for.
The research we conducted showed us that we wanted to target PMs with the following profile:
Is someone who has a level of autonomy to make decisions, but aren’t so autonomous they don’t need to provide a rationale.
They are not in large teams of PM (as these PMs have needs that Polaris doesn’t currently support)
and their development teams are currently using Jira Software.
✱ Polaris was the codename for JPD during the earlier stage of the product development cycle.
After a bunch of conversations we needed to rationalise this and here’s what we came up with.
✔ They are very clear communicators
✔ They are in your target customer segment
Create a way for people to get in touch with you
This could be through a landing page where you surface your lighthouse user program or via an in-app survey.
Use a form with a few questions that will help you triage requests and understand your customers and their problems. You can do this by including a required text field in your form asking them to describe the nature of the problem they are faced with.
Qualify your leads
You might be wondering “how am I going to deal with an important influx of requests?”. That’s a good problem to have. Use the information collected through the form to qualify your leads and get a prioritised view of who you’d like to engage with based on the problem you’re trying to solve.
Send them a scheduling link
If you are curious to know more about a potential customer, time to meet them.
Send them a scheduling link so they can easily book time in your calendar.
In the JPD team, we send a Calendly link so customers can book time with us once we’ve qualified them.
While there isn’t a hard rule that says 10 is enough, our experience shows that 10 lighthouse users are enough. Here’s why:
You want a group that’s representative of the people/market you’re trying to address
You are not looking for statistical significance but rather causal mechanisms
You can find the first part of this article here.
If you've enjoyed this article, please let us know by liking 👍 this post.
Part 3 of this 3-part series will showcase examples of real lighthouse users in building JPD, the collaboration setup between the users and the JPD team and key takeaways from this series.
👁️ Watch this space if you want to learn more about how we do product in the JPD team.
Axel Sooriah
Product Management Evangelist
Atlassian
France
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