Engagement & Retention — DSCVR.

Research.

We framed streaks as a habit-formation system with visible progress, achievable milestones, and recovery after lapses. The research focused on motivation design: users need to understand the trigger, complete a low-friction action, receive immediate feedback, and see why the action changed their status. That led to one product principle: streaks should encourage return, not punish absence. A missed day could reduce momentum, but it should not erase the user's identity as someone who participates.

• Users respond to a visible change in state, not to a counter alone
• Progress needs to remain recoverable after a missed day
• Milestone pacing matters: short-term wins support long-term habit formation
• Social recognition reinforces contribution better than private rewards alone

Process.

Design hypothesis: if users can see progress, recover from small lapses, and earn meaningful recognition for consistency, daily participation becomes a habit loop instead of a fragile campaign spike.

System Design — Streaks as a Habit Engine.

The streak mechanic was designed as a commitment system with recovery, not a punishment mechanism. Instead of resetting to zero after one missed day, we explored streak decay so prior effort remained visible and users could re-enter the habit loop without starting over. Milestones were structured across 7, 14, and 28-day horizons. That gave users short-term confirmation while still supporting longer-term identity and status building.

• Streak decay as a softer recovery model than hard reset
• Persistent progress visibility after missed days
• Milestones across 7, 14, and 28-day cycles
• Short-term feedback connected to long-term habit identity

Key UX Surface — Streak Claim Flow.

The daily claim flow became the primary retention touchpoint. It needed to be fast, unambiguous, and rewarding in the same session. The interaction confirmed eligibility, showed points or progress immediately, and made the completed action feel consequential. The streak card also appeared in profile and feed contexts, turning a private habit into a visible participation signal.

• Low-friction claim action with clear completion feedback
• Immediate reward visibility after successful participation
• Progress indicators tied to milestone pacing
• Distinct visual states for available, claimed, missed, and recovered streaks

Education & Recovery Design.

The education layer had to explain the system before users felt punished by it. The Learn More entry point clarified what counted toward a streak, how rewards worked, and what happened after a lapse. Recovery copy and state design made the important promise explicit: imperfect participation still counted. That reduced streak anxiety and gave users a path back after missed days.

• Learn More modal explaining rules, rewards, and recovery
• Plain-language eligibility criteria for participation
• Recovery states designed before failure became churn
• Progress visibility preserved after streak breaks

Sharing & Social Reinforcement.

Streaks worked better when they became part of community identity. Share cards displayed current status, milestone progress, and participation history in a format users could post without extra explanation. That moved the mechanic beyond private progress tracking. A streak became social proof: a visible signal that a user was active, consistent, and part of the community rhythm.

• Profile share cards with streak status and milestone context
• Participation signals visible outside the claim flow
• Identity and status reinforcement through streak display
• Low-friction sharing designed to invite comparison without spam

Social Proof in Feed.

Feed placement gave the system ambient visibility. When users saw others claiming streaks, daily participation became a norm rather than an isolated task. This mattered because the feed could reinforce the habit loop without requiring every user to actively share. The community surface carried the social proof.

• Streak claims surfaced in the community feed
• Ambient social proof for daily return behavior
• Participation normalized through repeated visible examples

Rewards, Referrals & Long-Term Motivation.

Rewards extended the streak loop into longer-term motivation. We explored points tied to airdrop odds, badges, status indicators, collectibles, and profile customization as different reward layers for different user motivations. The goal was not instant gratification alone. Rewards needed to validate the current action, signal progress to others, and create compounding value for users who kept participating.

• Points contributing to airdrop odds and reward multipliers
• Badges and status indicators for milestone recognition
• Profile customization as identity reinforcement
• Referral streaks with shared reward incentives
• Compounding value for sustained participation

Iteration.

Early concepts made the risk clear: the mechanic could motivate daily return, but only if the system avoided all-or-nothing pressure.

• Hard resets discouraged casual users
• Some rewards felt too abstract
• Without recovery paths, motivation collapsed

We moved toward softer recovery mechanics, clearer progress indicators, reward signaling tied to milestones, and copy that emphasized continuation over loss.

Collaboration.

I worked with product leadership, engineering, and community/growth stakeholders to translate retention strategy into shippable streak mechanics. My role focused on turning behavioral principles into concrete product mechanics: eligibility rules, claim flow states, milestone pacing, recovery logic, and reward tradeoffs. Documentation covered UX flows, FE/BE feasibility questions, reward-system explorations, milestone definitions, and stakeholder decks connecting engagement patterns to product decisions. The work moved through Jira tickets, strategy docs, design reviews, and recurring cross-functional feedback with engineering and growth.

Reflection.