Thu.Feb 29, 2024

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Choose the Right Large Language Model (LLM) for Your Product

The Product Coalition

Let’s talk confidently about how to select the perfect LLM companion for your project. Special thanks to: My co-author Narasimha Krishna Kumar. The AI landscape is buzzing with Large Language Models (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. But navigating this linguistic labyrinth to choose the right LLM for your product can feel daunting.Fear not, language adventurers!

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February’s top product management reads

Mind the Product

From an in-depth look into the multitude of different ways to teach yourself about product management to tips on how to overcome job fatigue and handle office politics, here’s a look through the most popular content among the MTP community in February. Read more » The post February’s top product management reads appeared first on Mind the Product.

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The Evolution of Github: A Revolution in Code Collaboration

The Product Coalition

Source In the expansive universe of software development, few platforms have wielded as much influence and innovation as GitHub. From its inception as a code hosting service to its current status as the epicenter of collaborative coding, GitHub’s evolution has been a testament to the power of community, creativity, and continuous improvement. Join us as we embark on a journey through the captivating evolution of GitHub, exploring its transformative milestones, strategic adaptations, and the revo

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How to Analyze Feature Usage And Gain Valuable Insights in SaaS

Userpilot

How can you analyze feature usage to understand your users' behaviors and needs better? Armed with the right product analytics tool, you can analyze how users engage with specific features and functions, unlocking a treasure trove of insights that can transform your product and business. In this article, we walk you through everything you need to know about analyzing feature usage and its relevant metrics.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Are You Doing Product Strategy the Right Way?

The Product Coalition

Want to learn how to improve and write great product strategies? Here are some tips you can implement in your job immediately.

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Evolving our data model beyond front-end events

Mixpanel

“Events are a restrictive, inflexible way of modeling data.” That was a direct quote from the community when we released Warehouse Connectors last year, showing a commonly-held concern about the limitations of product analytics. This spring, we’re evolving our data model to be more flexible than any other product analytics tool by allowing the ingestion and representation of more than just front-end product interactions.

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14 Best Customer Analytics Platforms in 2024

Userpilot

As you’re researching customer analytics platforms, you’ve probably noticed how hard it is to find reliable information on the available solutions. To make your life a little bit easier and help you choose the best product analytics tool for your SaaS, we’ve produced a guide of 14 excellent analytics platforms available on the market in 2024.

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A Solo Designer’s Journey in a Fast-Growing Startup

UX Planet

From design-team-of-thirty to design-team-of-one Over the past two years, I have been a design-team-of-one at a fast-growing startup, and the experience has been nothing short of a rollercoaster. In the absence of a dedicated design team, I’ve found myself collaborating with a product manager, front-end engineers, project managers, subject matter experts and various other colleagues to navigate the intricate world of design, ideation, testing, and critiques.

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How Does User Behavior Analytics Work in SaaS

Userpilot

User behavior analytics helps you understand how users engage with your SaaS. By digging into the user flow data, you can spot friction points and identify improvements to enhance the user experience. In this article, we answer the question: how does user behavior analytics work? Read on to learn: Behavior metrics to track. Tools for insightful user behavior analytics.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Strategic Collaboration, Subject Matter Expertise & Smart Devices: A Conversation with Sivaram Trikutam (Part Two)

Clint Padgett – Project Success

Episode Information: Clint continues his conversation with Sivaram Trikutam, Vice President of the WiFi Product Line at Infineon Technologies. During their discussion, Sivaram talks about establishing a shared vision of success in professional partnerships, understanding the nuances of verbal and non-verbal communication across cultures, and leading small-scale teams to large-scale success.

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What Is Feature Usage Rate and How to Measure It

Userpilot

Tracking product analytics , such as feature usage, is useful for understanding feature adoption and user engagement. Plus, it also helps gain valuable insights on how to enhance the customer experience and improve user retention. But what exactly is the usage rate and how is it calculated? We answer all these questions and more down below, so let’s dive in!

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Expanding Customer Success Through Partners

Gainsight

When it comes to building long-term scalability and efficiency for their businesses, more and more SaaS companies are turning to channel and ecosystem partners as a critical strategy within their go-to-market programs. Partner Success has been long talked about in Customer Success programs, but it’s had limitations in practice due to technology constraints like data security requirements and lack of Customer Success capabilities among partners.

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ONE THING on Customer / Stakeholder Discovery

Product Culture

Smart product people do discovery with customers. Are you also doing discovery with your stakeholders? Subscribe to my weekly Nano-letter: Sign Up Subscribe to One Thing Weekly Name * First Name Last Name Email * Our Privacy Policy * You can change your mind at any time by clicking the unsubscribe link in the footer of any email you receive from us, or by contacting us at bruce@productculture.com.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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MES and MOM – A clarification of terms

CONTACT Software

Digitalization in manufacturing Production is one of the most heavily optimized industrial sectors, and for good reason. Avoidable scrap or machine downtimes not only consume time and nerves but, above all, a significant amount of money. To prevent this, companies organize use digital systems to organize and execute their manufacturing processes.

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Where’s the Shortcut to Cancelling My Subscription?

UX Planet

No, I didn’t use that gym membership as much as expected… Continue reading on UX Planet »

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3 Signs That It’s Time to Reevaluate Your Digital Analytics Platform

Amplitude

Discover why it might be time to reevaluate your analytics stack to ensure you're getting the most out of your data.