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Listen to the audio version of this article: [link] A ProductStrategy System The productstrategy system in Figure 1 consists of four main parts: people, processes, principles, and tools. Having said this, the system in Figure 1 captures the specific productstrategy approach Ive created. [1]
It assumes, though, that enough good-quality data is available to make reasonably reliable predictions. This is unlikely to be the case for disruptive innovations, as I discuss below, as well as specialised products with a comparatively small user base, like tailored IT solutions. Take the original iPhone as an example.
Productside | Product Management Courses & Training How WellNest Rebooted ProductStrategy (eBook Preview) When product teams get stuck in backlog chaos, stakeholder noise, and reactive shipping, its not a process problem. Its a productstrategy problem. Thats where the Productside Blueprint comes in.
When your company adopts multiple SaaS solutions to drive productivity, you unknowingly create a perfect storm for data fragmentation. Your customer information lives in Salesforce, while your support tickets are in Zendesk, your product usage data in Mixpanel, and your marketing campaigns in HubSpot. Sound familiar?
Speaker: Yoav Yechiam, Founder and Head Instructor, productMBA
Analytics are there to answer important product questions, not just to collect data. Join Yoav Yechiam, Founder and head instructor at productMBA, as he explains best practices for a data-guided strategy that helps product managers get to the "why" of their biggest product goals.
Vice President of Product: Leading Through Others Kim described her transition to Vice President of Product as her biggest career shift. While she had previously been a VP in operations, the VP of Product role demanded a fundamentally different approach to leadership and productstrategy.
Instead, organizations need to: Focus on finding the best solution rather than winning arguments Challenge assumptions constructively Build collective ownership of decisions Create space for different perspectives Building Cross-Functional Success A key insight from our conversation is how product launches require coordination across departments.
He was also the first head of growth at Atlassian, where he led product for Jira Agile and built the first-ever B2B growth team. The best product managers go out of their way to prove themselves wrong, because finding the flaws in your thinking will lead to better decisions.
You can gather all the user feedback or behavioral data you want or even generate tons of Google Analytics reports. Despite all these efforts, you’re probably still not acting on product analytics correctly. At least that’s what Kevin O’Sullivan, Head of Product Design at Userpilot, has to say — and for good reason.
Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst
How much potential revenue is hidden in your data? In a recent Economist survey of 476 senior executives worldwide, 60% are already generating revenue from their data, and a whopping 83% have used data to make existing products or services more profitable.
Feature Requests from Top-Level Management One of the most contentious situations product managers face is dealing with feature requests that come directly from senior leadership. Often, these requests are made without supporting data or customer feedback, which can create tension between PMs and top-level executives.
B2C) Align roadmap structure with development methodology Balance customer needs with development capabilities Maintain appropriate levels of flexibility based on market type Understanding these contextual factors helps product managers create more effective roadmaps that better serve both their organization and their customers.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. So, how do you get started with product analytics ? In this article, we’ll talk about: What product analytics is and why you need a solid strategy. What is product analytics?
Key Challenges in Strategic Product Leadership During our discussion, Atif identifies three main challenges that senior leaders face when developing and implementing productstrategy: 1. The methods and frameworks we discussed can help product leaders work through strategic challenges more effectively.
Speaker: Oji Udezue, Former VP of Product at Calendly, Ezinne Udezue, VP of Product at Procore Technologies, and Tami Reiss, SVP Product Strategy + CPO in Residence at Produx Labs
Join Oji Udezue, former VP of Product at Calendly, as he will be chatting with 2 very powerful PM leaders— Ezinne Udezue, VP of Product at Procore Technologies, and Tami Reiss, SVP ProductStrategy + CPO in Residence at Produx Labs—who have run teams specializing in product discovery and experimentation.
I worked closely with a seasoned board member to trace this back to a lack of productstrategy—both articulated and aligned. With her help, I wrote the first strategy document for Headspace, which eventually led to the complete reimagination of Headspace , maximizing growth for our guided mindfulness product and adjacent spaces.
Roger recommended leveraging your boss: Bring your data and plan to your supervisor. Show them the data they lack. Or if your dev team never sees market data, start a quick monthly market update. You transition from edicts from above to a collaborative, data-driven approachone conversation at a time. Do I push back?
So here are 6 mental models for building an AI productstrategy: 1. Your AI productstrategy needs to actually be strategic! Your AI productstrategy needs to actually be strategic! Leverage What Makes You Unique Use your proprietary data, user insights, and domain expertise to fuel your AI.
In today's fast-paced product world, having a sharp product sense isn't just an advantage—it's a necessity. But how do you hone this crucial skill when faced with conflicting data, unsupportive leadership, or an over-reliance on gut feelings? Review the Data: Consider the data quality, scope, and possible gaps.
annual reports) Observable data : Derived from observation and synthesis (e.g. pricing, campaigns) Opportunistic data : Gathered through conversations or informal channels (e.g. annual reports) Observable data : Derived from observation and synthesis (e.g. Compare this analysis to your productstrategy and positioning.
Reveal Embedded Analytics For product owners, leveraging data is not just an advantageits a necessity. Product analytics empowers you to understand gaps in your offering and how users engage with your product. Both embedded analytics and product analytics are designed to help product owners in diverse ways.
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. Mural , Miro , etc.) is recommended.
As a product manager, I’ve come across all the common obstacles to creating personas. And what I’ve learned is that, besides getting stakeholder buy-in, you need a solid process to collect high-quality data, organize user segments, and create story-driven personas that are easy to follow. Userpilot ’s user persona template.
Thats why Ive curated a list of three top product manager openings at data-driven companies, along with standout candidates who are ready to make an impact. Recommended product manager job openings in data-driven companies Looking for a job in data-driven product management ?
Conducting user research , including surveys and interviews, is essential for understanding target users and refining product features. Focusing on these areas fosters user or customer satisfaction and equips teams with actionable data. Common Pitfalls Rushing into solutions without exploring user needs derails discovery.
In this episode of How I PM, we hear from Shobhit Chugh, Product Manager at Google (and improv enthusiast ), who shares his top approach to building and sustaining momentum throughout the product development journey. Share customer stories, data, and outcomes with your team and stakeholders so they feel the impact of their work.
After a few minutes of back and forth and my agreeing to bring it back from the dead if the marketer gathered enough data, it was added to the ‘for elimination’ section on the product health section of the roadmap. For reference, less than 0.5% of users accidentally used this feature once per year. Problem solved, at least I thought.
If the founder or product manager has a vision that is based on an interesting idea but isn’t based in data or evidence about what’s going on in the market, it’s probably doomed to fail. 5 Understand the users pain point and give the solution Abhiram Annangi , co-founder & data scientist at Bond.ai
Turning Strategy Into Outcomes: Influencing Stakeholders To Achieve Alignment By Erica Wass At a Glance This blog outlines how successful productstrategy depends on aligning cross-functional stakeholders, not just building a strong plan. In product management, strategy alone isn’t enough.
This blog dives deep into: How AI is revolutionizing core PM functions The top AI-powered tools every PM should know The future skillset of the AI-native product manager Let’s explore how to stay ahead in this AI-first world. Market Research: From Manual to Machine-Learned Market research has always been a cornerstone of productstrategy.
In the next article, well challenge two more rules holding you back: that listening to customers and obsessing over data will always point you in the right direction. Stay tuned to find out how to take control of your products vision and strategy. What rules do you need to break to finally unlock innovation?
Product managers must address these factors to ensure the product aligns with changing market conditions and customer needs, even as the company evolves. Use this data to gain detailed insights into your target segments, emerging trends, and customer feedback.
These enhancements give you even more programmatic control over your ProductPlan data, enabling complex integrations and automations. And looking further ahead, we’re in the planning stages for an Opportunities Business Case feature, which will help you better evaluate and prioritize new product opportunities.
Intelligent applications harness AI to deliver personalized, adaptive, and data-driven user experiences that surpass traditional functionalities. Gartner estimates that through 2025, at least 30% of generative AI projects will fail after PoC due to poor data quality, inadequate risk controls, escalating costs, or unclear business value.
Building trust with stakeholders isnt just a nice-to-haveits essential to preventing failed product launches due to poor stakeholder management. Without trust, even the most well-thought-out productstrategies can face pushback, leading to misalignment, delays, and increased risks.
Strategy: Outcome over Output Roadmaps crowd-sourced from stakeholder wish lists = strategy theater. Strategy prompt “Act like my product-strategy coach. AI turns raw data into a story arc in seconds. An AI coach helps you zoom out before you burn a sprint. Inject stakes and resolution.” Free marketing.
They also: Reviewed where people dropped off in the user journey Clarified confusing parts of the product and purchase experience Used support data to rewrite onboarding copy Ran small experiments to tweak the conversion flow—one variable at a time Even while under pressure to hit targets, they carved out time for learning loops.
Data format and input Follow the users locale when formatting or collecting data. Legal and compliance Data privacy and accessibility Be aware of regulations like GDPR (EU) or PDPA (Singapore). Provide clear disclaimers and obtain consent for data collection. For example, English is LTR, while Arabic isRTL. link] Font.
This article shares exciting product manager roles focused on retention and churn and showcases standout candidates in the field. Recommended product manager job openings in data-driven companies 1. Stripe: Product Manager, Local Payment Methods Cost Optimization Stripe is a financial infrastructure platform for businesses.
Joeri emphasizes that data and intuition are not oppositestheyre collaborators. Strong product teams blend analytics, field insights, and deep user empathy to understand whats worth solving and why. The product mindset Joeri describes is continuous, business-driven, and unapologetically people-first. The best leaders blend both.
Yet for many SaaS leaders, BI costs surge faster than customer acquisition, and legacy systems struggle to cope with growing data volumes and concurrent user demands. Your analytics can’t keep pace with product momentum, turning scalable analytics into a distant goal. The result? You’re not alone.
And just like any core system (sales, product, support), it must mature with the business. It’s something that evolves quarter by quarter with productstrategy, customer understanding, and value delivery.” Pricing = ProductStrategy Chris argues that pricing is tightly coupled with productstrategy.
You can test hypotheses with synthetic data. Is your product operating model ready for AI? Data-driven insights AI thrives on data. Through modular, strategic investments, starting with a data readiness assessment and aligned discovery loops. What does intelligent product design look like?
. “If you’re over-emphasizing the AI part of it, you run the risk that people are a bit like, ‘We can’t actually do that here,'” said April, citing concerns around compliance, privacy, and data governance. Positioning is not productstrategy. First-call sales stories matter.
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