Nik

Bobbary

About

Makerspace

Resume

Make a Move

Nik

Bobbary

Breaking the Failure Loop: Crafting an Adaptive AI Habit Engine for Modern Professionals

Impakt started as a personal build — no developers, no team, just a problem I couldn’t ignore. Frustrated by the gap between ambition and execution, and tired of productivity tools that punished inconsistency instead of supporting it, I took ownership of the entire journey — from research to strategy to prototyping — to explore how AI could create adaptive, emotionally intelligent systems for real life.

ROLE

Sole Product Designer

TEAM

Personal Project

DURATION

5 months

SKILLS

Qualitative Synthesis
Survey Design
UX Architecture
Interaction Design
Feature Prioritization
Feedback Loops

Impact

600+ professionals surveyed
3 Core systems designed
Reduced cognitive overwhelm

Problem

Objectives

Explorations

Branding

HiFi Designs

User Testing

Reflection

Understanding the Problem

Over the past few years, I found myself surrounded by vision boards, goal trackers, and productivity hacks—yet still ending most weeks feeling behind. I could define ambitious goals clearly, but translating them into consistent daily action felt overwhelming and unsustainable. Missing a single day often spiraled into guilt and abandonment. This gap between intention and execution is what drew me to explore a more adaptive, emotionally intelligent approach to productivity through Impakt.

Understanding the Problem

Over the past few years, I found myself surrounded by vision boards, goal trackers, and productivity hacks—yet still ending most weeks feeling behind. I could define ambitious goals clearly, but translating them into consistent daily action felt overwhelming and unsustainable. Missing a single day often spiraled into guilt and abandonment. This gap between intention and execution is what drew me to explore a more adaptive, emotionally intelligent approach to productivity through Impakt.

64% users feel overwhelmed when translating big goals into daily routines.
7/10 reported dropping new habits within a month due to lack of guidance or motivation.
85% seek more flexibility and emotional support than existing productivity tools provide.

External Research

We conducted structured secondary research using Perplexity and Claude to map behavioral science principles, motivation cycles, and retention benchmarks within AI-driven productivity tools. These insights were validated through 25 in-depth interviews to distinguish theory from lived friction. We also analyzed broader cultural trends around burnout and intentional living to ground the product in real behavioral shifts.

Survey Findings

We distributed a structured survey across productivity communities and received 620 responses from both users and non-users of habit tools. The data confirmed that overwhelm and missed days are the primary drivers of abandonment, not lack of ambition. Respondents expect personalization and adaptability, yet describe existing AI systems as surface-level and rigid.

Competitive Analysis

We audited leading productivity and habit platforms, evaluating adaptability, AI depth, onboarding friction, and emotional design. While many tools excel at tracking and visualization, most rely on rigid streak systems and static planning models. A clear gap emerged around adaptive, emotionally intelligent systems designed for sustainable consistency rather than performance pressure.

External Research

We conducted structured secondary research using Perplexity and Claude to map behavioral science principles, motivation cycles, and retention benchmarks within AI-driven productivity tools. These insights were validated through 25 in-depth interviews to distinguish theory from lived friction. We also analyzed broader cultural trends around burnout and intentional living to ground the product in real behavioral shifts.

Survey Findings

We distributed a structured survey across productivity communities and received 620 responses from both users and non-users of habit tools. The data confirmed that overwhelm and missed days are the primary drivers of abandonment, not lack of ambition. Respondents expect personalization and adaptability, yet describe existing AI systems as surface-level and rigid.

Competitive Analysis

We audited leading productivity and habit platforms, evaluating adaptability, AI depth, onboarding friction, and emotional design. While many tools excel at tracking and visualization, most rely on rigid streak systems and static planning models. A clear gap emerged around adaptive, emotionally intelligent systems designed for sustainable consistency rather than performance pressure.

Big goals overwhelm me. I am usually clueless where to start.

— Jin, 26, Health Coach

Missing days makes me quit. Apps don’t support real life.

— Maria, 23, Freelancer

Building habits alone is hard. I want connection and support.

— Aisha, 26, Educator

Pain Points

Difficult to break down large goals into actionable steps
Difficult to break down large goals into actionable steps
Lack of personalization or adaptability to changing routines
Lack of personalization or adaptability to changing routines
Existing apps trigger guilt through streak punishment
Existing apps trigger guilt through streak punishment
Progress tracking feels abstract and unmotivating
Progress tracking feels abstract and unmotivating

Objectives

These objectives were defined as deliberate behavioral commitments, not a list of features to implement. I grounded each one in clear research signals, particularly recurring burnout patterns and cognitive overload during planning. My approach focused on translating those insights into structural design principles that preserve momentum while intentionally minimizing pressure.

Objectives

These objectives were defined as deliberate behavioral commitments, not a list of features to implement. I grounded each one in clear research signals, particularly recurring burnout patterns and cognitive overload during planning. My approach focused on translating those insights into structural design principles that preserve momentum while intentionally minimizing pressure.

People

  • Ambitious students and early-career professionals navigating multiple goals

  • Digitally fluent and comfortable with AI-assisted tools

  • Experience cycles of high motivation followed by burnout

  • Seek structure without pressure and value emotional safety in self-improvement

People

  • Ambitious students and early-career professionals navigating multiple goals

  • Digitally fluent and comfortable with AI-assisted tools

  • Experience cycles of high motivation followed by burnout

  • Seek structure without pressure and value emotional safety in self-improvement

Activities

  • Translating long-term goals into daily executable actions

  • Tracking habits and reflecting on progress

  • Adjusting routines when life or energy levels shift

  • Using productivity tools primarily for self-improvement, not competition

Activities

  • Translating long-term goals into daily executable actions

  • Tracking habits and reflecting on progress

  • Adjusting routines when life or energy levels shift

  • Using productivity tools primarily for self-improvement, not competition

Context

  • Balancing work, study, health, and personal growth simultaneously

  • Frequently disrupted routines due to workload, travel, or life events

  • Primarily individual usage in private, self-paced environments

  • Often managing multiple apps and experiencing digital fatigue

Context

  • Balancing work, study, health, and personal growth simultaneously

  • Frequently disrupted routines due to workload, travel, or life events

  • Primarily individual usage in private, self-paced environments

  • Often managing multiple apps and experiencing digital fatigue

Technology

  • Familiar with productivity and habit-tracking platforms

  • Expect AI to personalize and adapt in real time

  • Prefer minimal, intuitive interfaces over feature-heavy dashboards

  • Value transparency and control in automated recommendations

Technology

  • Familiar with productivity and habit-tracking platforms

  • Expect AI to personalize and adapt in real time

  • Prefer minimal, intuitive interfaces over feature-heavy dashboards

  • Value transparency and control in automated recommendations

With all this research in mind, we scoped out the key 4 objectives we wanted to achieve for this project:

Design adaptive micro-steps that reduce cognitive load

Replace streak pressure with flexible recovery systems

Reinforce consistency through emotionally intelligent nudges

Reinforce consistency through emotionally intelligent nudges

Build transparent, collaborative AI support

Explorations

I defined the boundaries early to prevent feature sprawl disguised as innovation. The goal was not to build “a productivity app,” but a focused planning system where AI and manual control coexist without conflict. By narrowing the scope, I protected the core experience from unnecessary complexity.

Explorations

I defined the boundaries early to prevent feature sprawl disguised as innovation. The goal was not to build “a productivity app,” but a focused planning system where AI and manual control coexist without conflict. By narrowing the scope, I protected the core experience from unnecessary complexity.

Scope

I defined the boundaries early to prevent feature sprawl disguised as innovation. The goal was not to build “a productivity app,” but a focused planning system where AI and manual control coexist without conflict. By narrowing the scope, I protected the core experience from unnecessary complexity.

User Journey

I mapped the journey from first-time onboarding to daily plan adjustments to understand behavioral friction points. The emphasis was on reducing cognitive load at moments of decision — especially when editing or negotiating with AI. Every interaction was designed to feel controlled, reversible, and intentional.

Sketches

Sketching allowed me to test structure before committing to polish. I explored layout hierarchies, task-state visibility, and AI chat placement through rapid iteration. Those early explorations clarified how structure and branding could merge into a system that feels cohesive rather than assembled.

Branding

I kept the branding intentionally minimal to maintain focus on research and UX clarity. A lightweight moodboard aligned us on a calm, modern direction built around neutral tones, a confident accent color for key actions, and clean typography for structure and legibility. The result is a composed, low-cognitive-load interface that reflects Impakt's supportive and intelligent personality while keeping attention on the user’s goals.

Branding

I kept the branding intentionally minimal to maintain focus on research and UX clarity. A lightweight moodboard aligned us on a calm, modern direction built around neutral tones, a confident accent color for key actions, and clean typography for structure and legibility. The result is a composed, low-cognitive-load interface that reflects Impakt's supportive and intelligent personality while keeping attention on the user’s goals.

Moodboard

Moodboard

Moodboard

Branding

Branding

Branding

High Fidelity Designs

In the high-fidelity phase, I deliberately translated early structural sketches into a refined interface system to protect the integrity of initial UX decisions. Rather than redesigning from scratch, I evolved validated layouts into a cohesive visual language aligned with the established brand direction. I utilized shadcn ui as the foundational design system to ensure consistency, scalability, and component discipline, allowing structural clarity and visual polish to converge into a calm, intentional interface.

High Fidelity Designs

In the high-fidelity phase, I deliberately translated early structural sketches into a refined interface system to protect the integrity of initial UX decisions. Rather than redesigning from scratch, I evolved validated layouts into a cohesive visual language aligned with the established brand direction. I utilized shadcn ui as the foundational design system to ensure consistency, scalability, and component discipline, allowing structural clarity and visual polish to converge into a calm, intentional interface.

User Testing & Revisions

We tested the prototype with 20 users through A/B experiments and interactive flow testing, focusing on clarity, workload perception, and emotional response to recovery states. As an MVP was not developed, testing remained at a basic prototype level, centered on usability and comprehension rather than long-term metrics.

User Testing & Revisions

We tested the prototype with 20 users through A/B experiments and interactive flow testing, focusing on clarity, workload perception, and emotional response to recovery states. As an MVP was not developed, testing remained at a basic prototype level, centered on usability and comprehension rather than long-term metrics.

Example of practitioner feedback for the major app pages

Reflection

Designing for Less, Not More

Reducing cognitive load proved more challenging than adding functionality. Every decision required restraint to avoid visual and structural clutter. We learned that clarity is achieved through intentional simplification, not feature expansion.

Designing for Less, Not More

Reducing cognitive load proved more challenging than adding functionality. Every decision required restraint to avoid visual and structural clutter. We learned that clarity is achieved through intentional simplification, not feature expansion.

Transparency Builds Trust

Users responded positively when intensity, workload, and scheduling logic were clearly explained. Making the system’s calculations visible increased their sense of control and confidence. Transparency turned the AI from a black box into a collaborative partner.

Transparency Builds Trust

Users responded positively when intensity, workload, and scheduling logic were clearly explained. Making the system’s calculations visible increased their sense of control and confidence. Transparency turned the AI from a black box into a collaborative partner.

Emotional Tone Shapes Behavior

Subtle shifts in language and recovery logic significantly influenced how users felt while using the app. Supportive framing reduced guilt and increased willingness to continue after setbacks. The process reinforced that productivity design is deeply behavioral, not just functional.

Emotional Tone Shapes Behavior

Subtle shifts in language and recovery logic significantly influenced how users felt while using the app. Supportive framing reduced guilt and increased willingness to continue after setbacks. The process reinforced that productivity design is deeply behavioral, not just functional.

Let’s make your next release unmistakably better.

You’re a lean team with big ambitions, early users to impress, fires to put out, and zero time for a slow designer. I ship fast, and make your product feel alive, lovable, usable, and make it shareable.

You’re a lean team with big ambitions, early users to impress, fires to put out, and zero time for a slow designer. I ship fast, and make your product feel alive, lovable, usable, and make it shareable.

You’re a lean team with big ambitions, early users to impress, fires to put out, and zero time for a slow designer. I ship fast, and make your product feel alive, lovable, usable, and make it shareable.

Let's move fast

Let's move fast

Make a Move