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Validating and Prioritizing a Product Roadmap Using AI

Project Type

Roadmap Prioritization

Date

May 2023

Role

Senior Product Manager

Location

Toronto, ON

At the forefront of a climate change consultancy's evolution into a SaaS powerhouse, I led the groundbreaking initiative to validate and prioritize our product roadmap using AI. By analyzing thousands of interactions and harnessing the power of Jira Product Discovery and ChatGPT, we created a living, data-driven roadmap that fostered transparency, trust, and real-time responsiveness across the company. Discover how we're redefining product strategy through AI insights.

Project Overview

In the pivotal stage of transitioning from a consultancy to a software-as-a-service (SaaS) model, a climate change consultancy turned SaaS company faced the challenge of aligning its product development efforts with its evolving business goals. Tasked with preparing the roadmap for versions 2.2 to 3.0 of their software application, I led the initiative to leverage artificial intelligence for validating and prioritizing the product backlog. This entailed analyzing thousands of sales and client call transcripts to extract valuable insights into client needs and preferences.

My Role

As the Senior Product Manager, I spearheaded the exhaustive process of data gathering, analysis, and stakeholder engagement. My responsibilities included conducting in-depth interviews, setting up and monitoring feedback collection systems, and synthesizing data to inform our product roadmap. Weekly cross-functional meetings were essential for reviewing feedback and ensuring alignment with our strategic objectives.

Technologies Used

The project utilized an innovative set of tools, including Jira Product Discovery for roadmap planning, ChatGPT for processing call transcripts, Zoom and Sales Loft for capturing client interactions, Miro for collaborative brainstorming, and Google Forms for internal feedback collection. This tech stack enabled a comprehensive approach to data analysis and roadmap development.

Challenges Overcome

Navigating the adoption of a beta feature from Atlassian's Jira Product Discovery presented significant challenges, as did ensuring that internal feedback was effectively heard and integrated. A crucial part of my role was to foster transparency and trust in the product development process, overcoming technical and communication hurdles to create a dynamic, data-backed product roadmap.

Results & Impact

The outcome was a dynamic and living document that continuously evolves based on real-time data and feedback. This approach not only democratized the feedback process but also significantly enhanced trust in the product team during a critical transformation period. By moving away from static planning tools to a more interactive and responsive system, we empowered team members to engage with and contribute to the roadmap actively, marking a significant step forward in how product development is managed and executed.