The Feature-Less Roadmap: Using Themes and North Stars to Ground Your Product Roadmap

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We’re all familiar with feature-based roadmaps. The challenge with this method is that the how and what often obscures the why. When teams adopt a feature-factory mindset, they ship far faster than they learn and create value. Join our expert panel as we discuss how product managers can use themes and a north star metric to ground their product roadmaps. We’ll share actionable ways to create (and maintain) a feature-less product roadmap that you can present with confidence at your next stakeholder meeting.

Software

1Page
Using Themes and North
Stars to Ground Your Product
Roadmap
The Feature-Less
Roadmap

2Page
Heading Two Heading FiveHeading FourHeading TheeHeading One
Today’s Panel
Jim Semick
Co-founder and
Chief Strategist,
ProductPlan
Abbie Kouzmanoﬀ
Product Manager,
Amplitude
John Cutler
Product Evangelist,
Amplitude

3PageIMAGINE 2017.ALL RIGHTS
WWW.WEBSITE.COM
Agenda
● The problem with
feature-based roadmaps
● Themes and North Star
framework with examples
● Practical nudges and tips
● Live Q&A
Submit questions at any time
during the webinar!

4Page
What’s your role
in the roadmap process?
Poll

6Page
Premature convergence on
features is risky.
The Balancing Act
Stakeholders want
feature-based roadmaps.
A theme-based roadmap is
a new concept for many
people and feels
counterintuitive.

7Page
The problem with
feature-based roadmaps
7Page

8Page
When do you commit
to a speciﬁc feature?
Poll

11Page
Group Features Into Themes
Tenant leasing software—a case study
Our feature-based
roadmap…
1. Move in workﬂow
2. Lease info
3. Move-in checklist
4. Tenant screening
5. Online rental app
The problems: overly optimistic, not
highest customer value, hard to shift
priorities, presumed we knew all
answers
One possible theme...

12Page
North Star Framework
Business impact the
CEO cares about
Customer value created
by the Product team
Product Analytics
Alerts
App Redesign
New User
Activation
Help Product
LaunchTrial
Conversion
Proﬁle
UX
North
Star

13Page
Request to improve existing
“bulk edit” feature
New “templating” feature
based on N*
Align Features with North Star

14Page
What is your team’s biggest challenge
with adopting a theme-based mindset?
Poll

16Page
Promoting Organizational Change
16Page

18Page
Thank You.
& Get a product demo
or check out our great content.
www.productplan.com
www.amplitude.com

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Steffen Staab

Test automation is a cornerstone of software development and quality assurance in today's rapidly evolving digital landscape. Its significance cannot be overstated. Businesses can enhance efficiency, productivity, and accelerate software delivery to market through automation, streamlining testing processes effectively. This comprehensive guide addresses the best practices for test automation in 2024. It offers a detailed checklist to empower you to optimize your automation efforts and maintain a competitive edge.

The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

kalichargn70th171

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ABDERRAOUF MEHENNI

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TECUNIQUE: Success Stories: IT Service provider

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In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications

Alberto González Trastoy

HR Software Buyers Guide in 2024 - HRSoftware.com

Fatema Valibhai

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The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...

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