This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
From Raw Data to Clarity — Cleaning, Sorting, and Synthesising Insights Part 4 (of 5) of the UX Research Playbook series Synthesising qualitative data is similar to reaping the harvest after the diligent effort poured into research — it’s the step where hard work blossoms into meaningful insights. is recommended.
He most recently ran Product Management, Marketing, and Partnerships across Square while reporting to the CEO. Instead of placing all the burden on the manager, we need to shift our analytic lens upward, onto the skip. They review the manager’s performance. Subscribe now. After all, the skip lead hires the manager.
It has helped in gaining alignment on complex topics with senior leaders at Meta (Sheryl Sandberg, Chris Cox, and Andrew Bosworth), paving the way for key launches like Facebook digital well-being tools , privacy protections for youth , and Quest referrals. Let’s dive into detailed guidance for each step.
While adaptability might come naturally to some, others may need tools and guidance to strengthen it. This is why I’ve developed a self-assessment tool designed to help product managers evaluate their adaptability and identify pathways to growth in this crucial area. I quickly interpret data to inform my decisions.
How can you balance functionality with aesthetics, ensuring your app is both intuitive and visually appealing? Benefits of responsive e-learning appdesign Firstly, why do you need a functional design in the app where people study focusing on educational materials, not visuals? Examples include Moodle and Blackboard.
Picture this: A room full of product leaders huddled around market data like detectives at a crime scene, learning to spot the subtle clues that spell opportunity. Just as a master chef knows instinctively when a dish needs a pinch of salt, great product leaders cultivate an intuition that bridges data and action. The secret?
No matter what your product or service offering is, the landing page of your SaaS website is most likely the customer’s first point of contact with your brand. With a time frame so small, it is no wonder that simple design and layout are found to be much more appealing to users as compared to visually complex designs.
These forums serve as a direct line of communication with our users, providing insights into their needs and concerns. I am a semi-technical VP of Product, which roughly translates to: I can write a bit of code and debug it, but no one on my team, including me, would be happy with me shipping code to production.
Below you’ll find everything you need to know to nail your analytical thinking interview—a staple of most product interview loops. Now I’ll walk through my framework for acing analytical thinking interviews. I’ve never seen a guide this in-depth, specific, and full of so many real-life examples.
IBM is a deep-rooted global company in the tech industry, having been around for over a century. IBM is most widely known for its software and hardware products, but it also offers consulting services, dataanalytics, AI, and hybrid cloud solutions. Some IBM roles get an interview at an IBM assessment center.
Below, we discuss how to prepare for and ace data engineering interviews. 🧠 About this guide : Written by Thang Tran , a senior data engineer (ex-Amazon, Meta, and Apple) and Exponent interview coach. Reviewed by Deeptaanshu Kumar, a VP of data engineering (ex-Capital One, Freddie Mac).
These are some of the most common data analyst interview questions. ✅ Verified : Celine Liu , Uber's former Global Analytics Lead, wrote this guide. Celine has conducted 100+ interviews across analytics, operations, and strategic roles. Technical Round: Can include asynchronous SQL tests or live coding challenges.
Relative to other standard roles defined in an organization such as Ops, Marketing, Tech etc., Often, this is due to resource constraints rather than a lack of understanding of a PM role. A well defined product strategy provides insights into the deep customer problems that your product is trying to address. Product Strategy.
When developing products, customer insight is vital to understanding the critical question: where are we going? Insights can help us better to understand our product and how it fits into the everyday lives of users — users who live in an age of abundance, where every product competes for a minute of attention. Size Up Your Sources.
And this is why it can be helpful to consider the tools that will best support you in building your continuous discovery practice. Let’s be clear: The tools alone won’t automatically make you better at discovery. Like many aspects of continuous discovery, there’s no single right way to build your tech stack. Tweet This.
In my company, we review a living document with our management chain on a quarterly basis to align business direction for the short-term (immediate one to two quarters) to the long-term (two to five years). No formal stakeholder review as this is meant to be the first version that will undergo many iterations and refinements.
Much of the literature that defines the role as the intersection of business, technology, and user experience isn't particularly helpful for practitioners who are left wondering what skills they need to learn versus the fine people they work closely with in actual business, technology, and user experience roles.
I gather data through surveys about observations. I review strategies and roadmaps. Lots of data goes into pinpointing. At the end of this review, I do a Product Leadership workshop with C-Suite and Product leaders, where I show them what good looks like, and they have a chance to reflect on where they are.
One of the best ways to learn to truly collaborate is to visualize your thinking. This is why in my book Continuous Discovery Habits , I encourage teams to visualize their thinking with each habit. The best teams: Create experience maps to visualize what they individually and collectively know about their customer.
What tools should you use to test your assumptions? But this is exactly what we do when we try to make our first idea match the customer need we are trying to address, within the technical constraints we encounter, while still managing to deliver the right business results. Do you need to test all of your assumptions?
Let’s face it: qualitative data analysis is vital to understanding why users act in a particular way and how they feel about your product in a way that quantitative product analytics can’t. This article will teach you how to analyze qualitative data to inform product development and improve the product experience.
Sample goals include acquiring new users, increasing conversion, reducing cost, and removing technical debt to future proof the product. But don’t forget to regularly review the product roadmap —at least once every three months, as a rule of thumb. Carry out this exercise together with the development team.
Fallacy #1: ‘Agile’ Equals More Bang for the Buck If you ask founders and managers of startups why they want to become an agile organization, they typically name reasons such as: Becoming more efficient in software delivery, Delivering faster, Improving the predictability of software deliveries. The exercise works for everyone?—?sales,
To give you a general idea of where the mobile playing field is today, here are a few 2020 stats from our friends at App Annie : App Annie’s State of Mobile report is a fantastic place to start when looking for a general lay of the land and high-level stats. as well as from implicit data (favorited items, past purchasing behavior, etc.).
Symmetrical landing page structures which popular web-building tools offer may not always deliver the conversion you expect if you do not understand the mechanisms behind them. The performance metric is taken as the bounce rate (provided by the SimilarWeb browser extension) even though the conversion rate would be a better choice technically.
Discover how to enhance user experiences by leveraging quantitative research, usability testing, and A/B testing to make informed, data-driven design decisions that lead to measurable results. These tools enable you to collect feedback and use that data to refine your product’s design and functionality.
Industries such as high tech, banking, pharmaceuticals and medical products, education and telecommunications, healthcare, and insurance stand to gain immensely. If your AI journey has already been successful, then it’s time to harness the power of new tools for an even broader impact. Why Accelerate Now?
Almost every software company today has some kind of incident response process to help them navigate major service outages. For example, a relatively common type of incident might be a brief outage of Intercom due to a database failover. Resolution : The incident is resolved, and follow-up actions like an incident review occur.
Most of our tools and processes around product/feature prioritization are heads-down analytical: RICE, opportunity trees, Kano, weighted 16-column spreadsheets, WSJF, Eisenhower, whatever. Our " "Here is another one-line ticket written by non-technical users who don't understand their problem or our system. We'll
There are enough stories of data breaches and cyber attacks to chill even the savviest security engineer to the core. Suddenly, the team got to know SOC 2 Reports all too well and realized just how burdensome and unscalable it could become, especially for high-growth startups. And that’s where people like Adam Markowitz come in.
Our UX team noticed one such pattern: we are getting a lot of sales calls and clients that need visualizations of data. As companies are tracking more data, there is a growing need to better understand that data — and visualization is a critical tool to help. Suggested Data: Modites.
Whether you're an aspiring entrepreneur, a seasoned product manager, a UX designer , or simply curious about the process, this guide will walk you through the essential steps, best practices, and tools you need to create successful products. Continuously iterate your product based on data. Follow an agile mindset.
On the one side, they address typical Scrum events such as Sprint Planning, Sprint Review, and the Sprint Retrospective. market intelligence, results from experiments, user interviews, statistical data). Read more: Technical Debt & Scrum: Who Is Responsible ?)
We didn’t know know if our sales predictions were good or bad. Early numbers indicated that our growth predictions were very wrong. So, while developers were fixing bugs, we started to challenge our critical product pillars by reviewing our answers to the main product questions: Who is our customer? What is our positioning?
Digital transformation is “the use of technology to radically improve performance or reach of enterprises”, according to an MIT and Capgemini white paper. Gartner says : “Digital business transformation is the process of exploiting digital technologies and supporting capabilities to create a robust new digital business model”.
I enjoyed in-person meetings, especially in-person product review meetings. Early in the pandemic, this led me to resent virtual meetings, especially virtual product review meetings. This particular product review meeting was a breaking point. I struggled to figure out how to run the product review meeting effectively.
When do people report bugs? The second reason was that we had the right type of data available, since our tool helps teams report and fix bugs. Long story short, we decided to learn more about the way software development teams approach the bug reporting process. Here’s what we found. 9-to-5 is only 1/3 of the day.
With so much at stake, brands must maximize the value inside their data and leverage the full power of their growth stack. If your product and marketing teams are the “brains” designing your experience, your technology stack is undoubtedly the “brawn” making it possible. . Strength in numbers. Making it personal. User segmentation .
This meeting is an exercise in strategy, an opportunity to take stock of where your product is, where it fits within the wider market, and where it should go. It also stretches product managers to consider their impact on the wider business, by asking them to review their products margins and revenue generating impact. Profitability.
The right data and experimentation tools. The right data and experimentation tools. Even though the lists get very long, reviewing them regularly enables us to evolve or amalgamate ideas overtime to create some very successful experiments. How to prioritize the ideas for maximum business value?
Qualitative user research is a powerful approach for uncovering these deeper insights, focusing on the “why” and “how” behind user behaviours. Unlike quantitative research, which deals with numerical data and statistics, qualitative research delves into non-numerical insights to reveal the underlying reasons behind user actions.
Keep reading to discover his invaluable insights about aligning PMs and PMMs for product success. TL;DR Aatir Abdul Rauf, VP of Marketing at vFairs, shares valuable insights on aligning product managers and product marketing managers. Book a demo to learn about its engagement, feedback, analytics, and self-service features.
This was introduced in the 1989 movie Field of Dreams but gained popularity in tech in the early days of the dotcom boom when the players were limited and early adopters eager to experience all the web had to offer. The intention here is to separate correlation vs causation because this can’t be determined from past data.
Be specific, use data , not assumptions or speculations, and refrain from jumping to conclusions about possible causes. Collecting data about the problem’s nature and its extent is key to making informed decisions. Based on the data, formulate hypotheses on potential causes. The RCA process starts by defining the problem.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content