Userpilot
JANUARY 20, 2024
Looking for an effective self service support tool and wondering if Userlane is the best option for your SaaS company? In this article, we’ll delve into precisely that – helping you determine whether Userlane is the ideal choice for your self service support needs. What does self-service support entail?
Indicative
OCTOBER 23, 2020
There’s more information on hand than organizations know how to use or manage. Every team — from product to marketing, and IT to engineering — is generating data. A strong analytics stack is foundational to being able to make sense of it all. The data and analytics space is rapidly growing, expanding, and evolving.
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Izenda
DECEMBER 1, 2020
For many product managers and their teams, technical debt can be a black hole. Throughout product development, it may feel like you take two steps forward and three steps back. Technical debt is a common problem among product teams with no clear-cut solution. How agile teams accumulate technical debt.
Userpilot
APRIL 7, 2024
They’re also great for showcasing the core product functionality to new users. Friction can slow users down or stop them from experiencing the Aha moment, so use analytics tools like funnel analysis to identify and remove it from the user journey. For a 360 view, complement the analytics data with user feedback.
Userpilot
JANUARY 16, 2024
TL;DR Userlane is a good choice for customer satisfaction and it comes with features such as user journey mapping, self service support, in-app support, and Interactive user guides. Product usage analytics : An indirect feedback feature to track user interactions and identify popular and overlooked features.
The Product Coalition
APRIL 25, 2022
Product managers (PMs) are ninjas of aligning people, management, and processes. No product tool or template can save you if you’re not killing it in these three areas. The best product managers are in a continuous state of discovery and know that?—? neither the product nor roadmap are ever static.
Amplitude
SEPTEMBER 5, 2019
As I have worked with companies, departments, and teams to help them make more data-informed decisions, I have noticed that they usually fall into one of three categories: They fully integrate evidence-based decision-making into how they work. For the rest of us, and as an analytics practitioner I do mean “us,” there’s the second group.
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