Designing the AktivGrid

Reimagining molecule drawing for students and instructors.
A visual chemistry tool designed to teach through interaction, not just evaluation.

Client

Industry

Services

What is AktivGrid?

AktivGrid is a patented interactive molecule drawing tool that helps students visualize and construct Lewis structures, skeletal formulas, resonance structures, and curved-arrow mechanisms directly within chemistry assignments. It’s used by both students and instructors to explore, learn, and reinforce molecular concepts.

Unlike traditional digital drawing tools, AktivGrid wasn’t built to just verify correctness. It was created to encourage mistake-driven learning, making the invisible logic of chemistry visible.

Initial Goals & Challenges

The core mission was to improve the way students interact with molecular structures across a wide range of chemistry topics. Prior to AktivGrid, most activities were static or multiple-choice. These failed to capture the nuance of:

  • Resonance structures

  • Curved arrow mechanisms

  • Chair conformations

  • Conformational analysis using Newman projections

As we began, there was no system or component library that could support this vision — this wasn’t a redesign. It was a zero-to-one product challenge.

We didn’t need just another tool. We needed one that would actually teach chemistry while students use it.

What Makes AktivGrid Unique?

Discovery & Research

My first step was to understand how instructors were currently teaching these concepts — and where digital tools were failing. I spoke to:

  • Internal curriculum designers

  • Chemistry professors at partner universities

  • Support teams handling student pain points

Key Insights

  • Paper still dominates: Students default to sketching on paper because digital alternatives feel clunky or overly strict.

  • Learning > Grading: Instructors emphasized the need for tools that support learning from mistakes, not just right/wrong feedback.

  • Tools needed to feel “chemistry native”: Arrow drawing and structure tools had to respect the cognitive models chemists use when teaching.

AktivGrid empowers STEM learning with innovative design

The Design Process

01 — Foundations

We began by defining a visual interaction system that mirrored how molecules are taught: atoms, bonds, charges, and movement. I developed the initial layout system and input logic for:

  • Atom and bond placement

  • Electron pair representation

  • Dynamic error validation (e.g., formal charge, octet rules)

02 — Early Iterations

We explored multiple interaction models:

  • Contextual sidebars vs floating toolbars

  • Tap-to-place vs click-and-drag

  • Sequential vs free-form sketching

Testing revealed that:

  • Students preferred flexibility, even at the risk of making errors

  • Instructors wanted control over what tools were allowed per question

03 — Prototyping for Pedagogy

I designed early prototypes in Figma and worked closely with engineering to bring interactive demos to life.

We focused on:

  • Live validation logic (e.g. alerting when formal charges are missing)

  • Tool toggles: Switch between hexgrid or free form drawing based on learning objectives

  • Integrated feedback: Hints and mistakes surfaced inline

This tool doesn’t just say I’m wrong — it shows me why and gives me a chance to fix it.

🔄   Arrow Drawing Tool

Supports reaction mechanisms and resonance movement.

🪑   Chair Interactives

Lets students manipulate axial/equatorial positions on cyclohexane rings.

🔘   Newman Projections

Students can rotate and analyze conformational isomers.

My Role & Contributions

As the lead (and only) designer on this project, I owned the full product design lifecycle:

  • Conducted user interviews and synthesized findings into UX principles

  • Designed all interaction patterns for molecule drawing and feedback logic

  • Built the visual system and documented edge cases for engineering

  • Collaborated with content authors to ensure tools matched pedagogical needs

  • Created training materials and onboarding guides post-launch

Results & Impact

Takeaways

This project was one of the most rewarding design challenges I’ve led — not because it was flashy, but because it solved real, nuanced problems for real learners.

What I learned

  • Build tools around the learner’s thinking, not the system’s logic

  • Designing for learning means leaning into error states and feedback clarity

  • Cross-functional collaboration (especially with subject matter experts) is critical to staying aligned with educational goals