1.02 Align with business goals & KPIs

I’m working on a project about [describe your domain/product/idea]. I want to make sure the design aligns with business goals and has measurable success criteria. Can you help me with: 1. Identifying possible business goals this project could support (growth, revenue, retention, engagement, etc.). 2. Suggesting relevant KPIs or metrics to measure success. 3. Mapping how design decisions could directly/indirectly influence these goals. 4. Highlighting trade-offs or conflicts between user goals and business goals (if any). 5. Giving me 2–3 example “business + design alignment statements.” (e.g., “By improving onboarding UX, we aim to reduce drop-off rate by 20% within 3 months.”) Format the response in a structured way with bullet points, so I can copy it into project documentation.

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You want to connect your design project to business objectives, define measurable outcomes, and avoid designing in a vacuum.

Example input

I’m working on a project about Digital Closet Maker.
I want to make sure the design aligns with business goals and has measurable success criteria.

Can you help me with:
1. Identifying possible business goals this project could support (growth, revenue, retention, engagement, etc.).
2. Suggesting relevant KPIs or metrics to measure success.
3. Mapping how design decisions could directly/indirectly influence these goals.
4. Highlighting trade-offs or conflicts between user goals and business goals (if any).
5. Giving me 2–3 example “business + design alignment statements.”
(e.g., “By improving onboarding UX, we aim to reduce drop-off rate by 20% within 3 months.”)
Format the response in a structured way with bullet points, so I can copy it into project documentation.

Example output (from ChatGPT)

1. Possible Business Goals the Digital Closet Maker Could Support:
	•	User Growth – Attract new users through unique value (organizing wardrobe, outfit suggestions).
	•	Engagement – Increase daily/weekly active usage via reminders, outfit planning, laundry tracking.
	•	Retention – Build habit-forming loops (morning outfit suggestions, history, seasonal wardrobe refresh).
	•	Revenue
	•	Premium subscriptions (advanced recommendations, unlimited storage).
	•	Affiliate links (shopping recommendations, missing-item suggestions).
	•	Market Differentiation – Position as a lifestyle + productivity tool, not just storage.
	•	Data Insights – Leverage anonymized fashion/usage trends for future partnerships.

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2. Relevant KPIs & Metrics to Measure Success:
	•	Growth
	•	Number of new users (weekly/monthly).
	•	CAC (Customer Acquisition Cost).
	•	Engagement
	•	DAU/WAU/MAU (Daily/Weekly/Monthly Active Users).
	•	Session length (time spent in app).
	•	Number of outfits created per user.
	•	% of users using recommendations feature.
	•	Retention
	•	Day 7 and Day 30 retention rate.
	•	Churn rate.
	•	Revenue
	•	Free-to-paid conversion rate.
	•	Affiliate click-throughs & purchases.
	•	ARPU (Average Revenue Per User).
	•	Experience Quality
	•	NPS (Net Promoter Score).
	•	CSAT (Customer Satisfaction).
	•	Drop-off rates in onboarding.

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3. How Design Decisions Influence Business Goals:
	•	Onboarding Flow
	•	Directly impacts growth & early retention by reducing friction in adding clothes.
	•	Outfit Recommendation UX
	•	Drives engagement & retention by making app part of daily routine.
	•	Laundry Tracker / Closet Management Simplicity
	•	Reduces drop-offs, keeps users consistent → higher retention.
	•	Affiliate Product Integration
	•	Subtle, non-intrusive recommendations can increase revenue without harming trust.
	•	Gamification & Progress Feedback
	•	Encourages daily log-ins → boosts DAU and stickiness.

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4. Trade-Offs Between User Goals & Business Goals
	•	User Goal: Simplicity & Control
	•	Conflict: Business may want to push more affiliate links, but too much could feel spammy.
	•	User Goal: Privacy & Data Security
	•	Conflict: Business may want trend insights from user data → must balance transparency and consent.
	•	User Goal: Free Access
	•	Conflict: Business needs revenue → must design a fair free vs. paid feature split.
	•	User Goal: Minimal Time Spent
	•	Conflict: Engagement metric may reward “more time in app,” but users may value efficiency.

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5. Example “Business + Design Alignment Statements”
	•	Onboarding:
“By simplifying the first-time clothing upload process (drag-drop, bulk add, auto-tagging), we aim to reduce onboarding drop-off by 20% in the first month.”
	•	Engagement:
“By introducing daily outfit suggestions with push notifications, we aim to increase weekly active users by 30% within 3 months.”
	•	Revenue

1.01 Define & frame the problem

1.03 Stakeholder Interview Plan

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