2024-2025

Atlas Metrics
Scaling sustainable ESG reporting through user-centered design.

About the product

Atlas Metrics is a Berlin-based SaaS platform helping it's clients report, analyze, and act on their ESG (Environmental, Social, Governance) data unitizing AI.

My role

As a Product Designer I designed and launched critical features, unified the platform’s UX, and introduced a research-driven design process. Ultimately driving adoption from 0 to 225+ product teams and boosting retention by 25%.

Main goals

  • Increase usability and compliance retention.

  • Drive rapid yet sustainable growth of the plattfrom and design system.

  • Improve user-centered approach.

Problem framing and research

  • Customers needed to comply with a highly complex reporting standard (PCAF), but struggled with scattered spreadsheets and inconsistent calculations, doing everything manually.

  • Customers repeatedly requested visual insights to make ESG data more actionable. Lack of dashboards led to frustration and high support burden. Most of the customer service tickets showed that users were frustrated with the lack of dashboards and crucial visual data.

First Iterations and Challenges

  • PCAF Module: Early prototypes felt too complex. I simplified the flow by collapsing multiple steps into fewer, clearer screens.

  • Analytics Dashboard: The first version was cluttered with too many metrics. I reduced it to the most essential KPIs and tucked advanced insights behind interactions.

  • Responsive Layout: Long German words broke layouts during testing. Adjusting the grid and spacing solved it without cutting content.

  • Website Redesign: Marketing wanted heavy animations, but I balanced this with lighter micro-interactions to keep performance fast while still improving storytelling.

Home Dashboard before. It felt unresponsive, with a cluttered layout and unused white space.

How PCAF reporting for clients used to look like before. Scattered spreadsheets, and unendless number of tabs.

The Process

I analyzed analytics data in Maze and Mixpanel to understand how users interacted with the previous dashboard and where they dropped off.

Then I reviewed current app feedback to identify insights about visual data usage and the carbon accounting reporting process, noting the main pain points and missing features.

Lastly, during various iteration phases and before the final release, I conducted usability tests on the Vibe-coded prototypes with both stakeholders and end users.

I introduced structured UX research, mixing qualitative and quantitative methods:

  • PCAF Module: Expert interviews (ESG consultants) to decode technical standards, user interviews (Data Managers) for workflows, Mixpanel funnel analysis for friction points. → Resulted in guided, audit-ready flows.

  • Analytics Dashboard: Customer surveys +customer success team feedback to confirm demand, competitive benchmarking for industry best practices. → Prioritized interactive charts, benchmarking, and simulations.

  • Responsive Layout: Heuristic evaluation + device testing. → Unified spacing/grid system.

  • Website: Stakeholder workshops + A/B copy testing. → Higher conversion and engagement.

Prioritization

Execution & Handoff

Design critique round with ESG consultants as primary users,

  • Maintained clean Figma files, documented edge cases, and integrated new components into the design system.

  • Before handoff, I ran design critique rounds with PMs, ESG consultants and users to test flows and uncover blind spots. This made sure business needs, usability staisfaction and technical constraints were aligned early.

  • For handoff, I ran async reviews with engineers by using Jira tickets, comments, and short walkthroughs in Figma. This reduced a lot of back-and-forth during development and sped up delivery.

Outcomes & Impact

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Sources: Mixpanel, Maze, Atlas Metrics Customer Success Team.

Key Learnings

  • UX research doesn’t need to be perfect to be valuable. In the end of the day choosing the right mix of user feedback, analytics, and SME input provided the best actionable insights.

  • Compliance-heavy tasks benefit from guided, outcome-oriented flows.

  • Standardizing design (responsive grids, design ops) pays off in reduced bugs and faster delivery.

  • AI tools accelerated ideation, prototyping, copy testing, and edge-case exploration. Learned to effectively combine vibe designing (utilizing AI), hands on designing and meeting product decisions.

  • UX research doesn’t need to be perfect to be valuable. In the end of the day choosing the right mix of user feedback, analytics, and SME input provided the best actionable insights.

  • Compliance-heavy tasks benefit from guided, outcome-oriented flows.

  • Standardizing design (responsive grids, design ops) pays off in reduced bugs and faster delivery.

  • AI tools accelerated ideation, prototyping, copy testing, and edge-case exploration. Learned to effectively combine vibe designing (utilizing AI), hands on designing and meeting product decisions.

  • UX research doesn’t need to be perfect to be valuable. In the end of the day choosing the right mix of user feedback, analytics, and SME input provided the best actionable insights.

  • Compliance-heavy tasks benefit from guided, outcome-oriented flows.

  • Standardizing design (responsive grids, design ops) pays off in reduced bugs and faster delivery.

  • AI tools accelerated ideation, prototyping, copy testing, and edge-case exploration. Learned to effectively combine vibe designing (utilizing AI), hands on designing and meeting product decisions.

  • UX research doesn’t need to be perfect to be valuable. In the end of the day choosing the right mix of user feedback, analytics, and SME input provided the best actionable insights.

  • Compliance-heavy tasks benefit from guided, outcome-oriented flows.

  • Standardizing design (responsive grids, design ops) pays off in reduced bugs and faster delivery.

  • AI tools accelerated ideation, prototyping, copy testing, and edge-case exploration. Learned to effectively combine vibe designing (utilizing AI), hands on designing and meeting product decisions.

Final designs

Contact for collab

© 2025 Iskander Alibayev

© 2025 Iskander Alibayev

© 2025 Iskander Alibayev

© 2025 Iskander Alibayev