sift
Opportunity
Forest regeneration practitioners face an overwhelming task of sifting through sparsely documented information, including unpublished data, policy documents, and case studies.
community partner
Collaborative Earth
solution
Open-source repository which facilitates planning and collaboration, by leveraging AI to collate relevant resources, community knowledge and mapping tools.
status
Under Development
team
Anusha Thalnerkar, Kirtana Kannan, Rishma Bora, Rochelle Ardersher, Marc O'Brien
duration
6 months
Opportunity
Forest regeneration practitioners face an overwhelming task of sifting through sparsely documented information, including unpublished data, policy documents, and case studies.
solution
Open-source repository which facilitates planning and collaboration, by leveraging AI to collate relevant resources, community knowledge and mapping tools.
community partner
Collaborative Earth
team
Anusha Thalnerkar, Kirtana Kannan, Rishma Bora, Rochelle Ardersher, Marc O'Brien
status
Under Development
duration
6 months
SIFT
Opportunity
Forest regeneration practitioners face an overwhelming task of sifting through sparsely documented information, including unpublished data, policy documents, and case studies. By emphasizing accurate decision-making and efficient workflows, we can facilitate inter-lab collaboration for improved restoration outcomes.
Solution
Open-source repository which facilitates planning and collaboration, by leveraging AI to collate relevant resources, community knowledge and mapping tools.
Team
Anusha Thalnerkar, Kirtana Kannan, Rishma Bora, Rochelle Ardersher,
Marc O'Brien
Community Partner
Collaborative Earth ↗︎
Duration
6 months
Status
Under Development
Globally, we deforest around 10 million hectares of forest every year. That's 92212 km2 – equivalent to the size of Portugal.
Collaborative Earth is a lab-driven organization that ties humanities & technology across disciplinary and cultural boundaries.

For my capstone, I partnered with Collaborative Earth to co-create pathways for social & ecological regeneration.
Collaboration
Social Lab Design Team at
‍California College of the Arts
🤝
Assisted Forest Regeneration
Lab at Collaborative Earth
Social Lab Design Team at
‍California College of the Arts
&
Assisted Forest Regeneration
Lab at Collaborative Earth
Theory of Change
Problem
Forest restoration practitioners must sift through numerous research papers from various sources for each project. Gray literature, eg. essential localized knowledge, is sparsely documented.
We did a thing
Designing an open-source repository that facilitates planning and collaboration, by leveraging AI to collate relevant resources, community knowledge, and tools.
Impact
By emphasizing accurate decision-making and efficient workflows, we can facilitate inter-lab collaboration for improved restoration outcomes.
Context & Stakeholders
🌱
+
👩‍🌾
=
🌎
Natural
Forestation
Methods
Specialized
Community
Knowledge
Assisted
Forest
Regeneration
Natural
Forestation
Methods
+
Specialized
Community
Knowledge
=
Assisted
Forest
Regeneration
Restoration Ecologist 🌿
Restoration Technician 🍃
Restoration Ecologist 🌿
Restoration Technician 🍃
Early Stage Research
Studying the site
Fundraise
Project scoping
Implementation
Preparing the soil
Maintenance & Monitoring
Measuring growth
Reporting
Reporting outcomes
Research
At a glance
13
co-design sessions
with practitioners
3
key actionable insights
649
Figjam stickies until
the 'lightbulb-idea'
13
co-design sessions
with practitioners
3
key actionable insights
649
Figjam stickies until
the 'lightbulb-idea'
Themes from stakeholders interviews
Leveraging Available Resources

“There's a ton of stuff out there – but the problem is that it's scattered across different platforms!”

– Restoration Ecologist at Collaborative Earth
Drivers of Success
‍
“For restoration to be successful, it should improve people’s livelihoods - primarily financial.”
‍
– Restoration Ecologist at Collaborative Earth
Overcoming Failures

“Building a centralized digital tool will be really helpful for people to understand causes of project failures, and in turn stage future projects up for success.”
‍
– Restoration Lead at Collaborative Earth
We conducted affinity mapping, leading to discoveries.
Challenges
Wading through ambiguity
Our very first asset to play around with was a rather messy Excel sheet containing data from restoration volunteers. During the early days, sensemaking took up the team's maximum bandwidth.
Envisioning a product from the ground-up
Diving head-first into a new industry with the vision to build a product meant wearing numerous hats – systems thinking, user research, and most importantly, workshop design – and it elicited a learning curve that I'm incredibly grateful for.
Product concepts
Initial concepts
CoLab AI
GPT-like AI Model
Conversational UI
Upon conducting early usability tests with participants, we learned that a stand-alone GPT-like AI tool felt disjointed with the resource repository.
Upload Resources
Community contribution
Impact measurement
Community contribution like volunteer uploads may increase the likelihood of data inaccuracies due to the absence of an information screening process.
"the iterative process"
Concepts that worked
Resource Hub
Library of relevant publications
A powerful way to find resources
A library of relevant publications, coupled with powerful ways to search and find resources.
AI, but under the hood
Smart Insights & Summaries
Tool-wide integration
A deep, tool-wide integration of an AI model across the platform – search functions, project summaries, research insights, and more.
Co-designing sessions with practitioners held great value. Through card-sorting and prototype usability tests, we refined the outcome and gracely pivoted when need, stretching out the tool's capabilities.

Sift started taking shape.
All-new Research
We designed an easier and faster way to go through research papers, case studies, and
other publications.
📑
Personal Drive
Save your most valued resources, and come back at will. Just like real folders, apply tags to categorize saved files – and find them quickly.
🗂️
Team Workspaces
Team work(spaces) makes the dream work. Build projects as a team, share resources, and keep members up to speed with updates.
👩‍💻
Annotations
Call out and highlight fleeting thoughts. We created an intuitive way to add annotations to insights, summaries, and links.
🖋️
Designing the heart of Sift.
Tool-wide integration of AI meant identifying optimum checkpoints where AI would improve practitioner workflows. I focused on designing two crucial pillars of the Sift.
Deep Search
Find relevant resources faster
Smart Insights
Summarize or pull insights from resources
The UX of Search + Insights
Initial wireframes
First Iteration
Updated
Feedback
Finding resources specific to project location was paramount for practitioners, and simply typing in the search location would hinder specificity of location.

↓
Feedback
We sliced the search bar into input field and location picker and integrated a CTA for insight generation right up front. But we faced one problem – it didn't look as important as it was.
↓
Split-CTA for Search & Smart Insights
Impressions
Splitting Deep Search and Smart Insights was a bold step – and one in the right direction. This dual-action approach helped us assign enough importance and discoverability to both features. We further modified the UI.
↓
Search + Insights | Modified
Smart Search in action
Generative insights
Insight cards make it easer for practitioners to know if they're looking at the right resource for projects. Here are some explorations.
Throughout testing, Insights cards received thumbs up. However, visual distinction remained a head scratcher. To combat this, I proposed custom fill & accent colors for AI features.
Smart Insights UI
Designing Sift
Moodboard
Practitioner's Workspaces
A home for everything important
Just like real folders, apply tags to categorize saved files – and find them quickly. The workspace enables collaboration with a Personal Archive for organizing resources and Collections for teams to share and communicate through notes. Save your most valued resources, and come back at will.
Practitioners' Workspaces
All-New Research
An easier and faster way to research
Sift through research papers, case studies, and other publications. With a standardized format, practitioners now view the most relevant content first.  
UI Cards
Related and similar content shows up as cards.
Tags are indicative of the type of publication.
Just like real folders, apply tags to categorize saved files – and find them quickly. The workspace enables collaboration with a Personal Archive for organizing resources and Collections for teams to share and communicate through notes. Save your most valued resources, and come back at will.
Smart Insights
A distinct look
Smart Insights UI elements were intentionally designed to look different with custom gradient for discoverability and ease of glance.
An expert AI model – trained for the task at hand
With over 100,000 data sets already indexed, practitioners can harness Machine Learning to find relevant data in seconds.
All-new Research
We designed an easier and faster way to go through research papers, case studies, and other publications. With a standardized format, practitioners now view the most relevant content first.  
Building for flexibility & scale
I ensured the we continually contributed to and made use of a custom design system. Sift evolved fast & often, and it was crucial to make sure changes were consistent, on-brand and scalable for extended use cases and features for the future.
Impact Measurement
The tool is currently in development with the dataset still in training.
Here are some of the anticipated impacts.
User Engagement
‍
Total user base
Rate of new users logging in
Geographic Distribution
Number of
partnered labs
Quantifying the network, and
building new collaboration ways.
Content Utilization
‍
Number of resources saved
Number of projects
Learnings
When in doubt, test it out!
A tool like this has never existed, and so we had no historic data or information to play with. Hence, we turned to user tested to validate and bust our ideas. Testing made me understand the importance of placing the user at the epicenter – building a product with stakeholders yields impactful results.
Iterate often
If the first version and the final version of Sift met, they wouldn't recogize each other. Iterations, in the right direction and with the right feedback, did make our product simpler, effective and more capable than our original brief.
Teamwork = Dreamwork
Working with this super talented team has been one of the greatest learning experiences during my time in Design. Our meetings were full of "here's an idea", honest critique, gallons of coffee, and a whole lotta laughter! From L-R: Rishma Bora, Anusha Thalnerkar, Kirtana Kannan & Myself.
other work
Sift
in partnership with Collaborative Earth
An open-source repository that facilitates planning and collaboration, by leveraging AI to collate relevant resources, community knowledge, and tools.
Product Design, UX Research, AI
LEVITY
mentored by Blake Hudelson
A concept product that helps recreational runners understand their foot anatomy and profile the optimum running shoe using Augmented Reality.
Product Design, Brand Strategy
DYnamic buttons
mentored by Sara Strickler
A combination of tactile touchpoints and digital surfaces – an all-new way to make your vehicle truly yours. Elevate the experience on Apple Vision Pro.
Spatial Design, Experience Design, Service Blueprint
Formula 1
reimagined with Augmented Reality
1000 horsepower through a new lens. Leveraging Augmented Reality to display critical datapoints visually for Formula 1 racers.   
Speculative Design
priyamshah7092@gmail.com
LinkedIn
Résumé
Calendly
Priyam Shah © 2024