Making growth easier to plan and execute
Growing a project requires more than getting attention. Teams need to understand their audience, find the right creators, choose distribution channels and manage campaigns.
At Dopamyn, I worked on building an AI-powered platform that brings these activities together, helping growth teams move from audience research to campaign execution.
Year
2026
skills
Product Design
Type
Full-time
Industry
SaaS, Marketing
Growth teams need to make decisions before they can execute
The primary users were founders, growth marketers and campaign managers working on Web3 projects.
They needed to:
Understand who their audience was.
Find relevant creators and communities.
Identify the right channels for distribution
Plan campaigns and allocate budgets
Track performance across multiple activities
Most teams relied on a combination of spreadsheets, social analytics tools, creator directories and campaign platforms.
The challenge wasn't a lack of information. It was the effort required to connect it and turn it into a plan.
Too many tools. Too many disconnected decisions.
A growth manager might discover an interesting audience on one platform, research creators on another and manage campaign execution somewhere else.
Information was scattered, workflows were repetitive and connecting research with actual campaign decisions required considerable manual work.
This made it difficult to maintain a clear picture of the entire growth process.
The opportunity was to create a connected workflow that could support users from the first research question to the final campaign.
Structure the product around how teams grow
Instead of treating every feature as a separate tool, I helped organise the platform around three stages.
01
Discover
Help teams understand their audience, explore relevant accounts and find creators using proprietary data.
02
Decide
Bring research into the planning process. Help users select channels, build campaign strategies and allocate budgets.
03
Execute
Turn plans into campaigns, manage distribution and monitor performance.
This structure informed the information architecture and connected different parts of the product into a more continuous workflow.
From finding an opportunity to acting on it
I worked across several parts of the platform to make each stage easier to navigate.
01 — Audience discovery
Users needed a way to find relevant accounts without manually searching through large amounts of data.
I worked on discovery and account exploration experiences that made it easier to identify, evaluate and organise potential audiences.
02 — Account intelligence
Users needed more than a list of profiles. They needed enough context to understand whether an account was relevant.
The account experience brought important information together and provided ways to organise discoveries for later use.
03 — Campaign planning
Research only becomes useful when it informs a decision.
I worked on connecting audience and creator insights with campaign workflows, helping teams move from discovery into planning.
04 — Campaign execution
Campaign managers needed visibility into their ongoing activities, participants, rewards and progress.
The focus was on creating structured campaign experiences that made execution easier to manage.
A connected platform for growth teams
Dopamyn developed into a platform combining audience intelligence, campaign planning and execution.
$60K+
Revenue in its first 80 days.
250+
Campaigns launched
70K+
Followers acquired.
40K+
Users onboarded
$16K+
In incentives distributed
1000+
On-chain transactions
