Root cause a sudden decline in retention among students using Lightroom

Problem Statement Description

Product context: Adobe is a creative, document, and marketing software company; its products include Creative Cloud, Photoshop, Illustrator, Acrobat, Adobe Express, Firefly, and Experience Cloud.

Adobe Lightroom is used by students for photo editing, class projects, portfolio building, social content creation, and learning creative workflows. You are told that retention among student users has suddenly declined, and you need to investigate what may have changed in the product, user experience, acquisition mix, pricing/access, competitive environment, or measurement systems.

Frame this as a root-cause analysis problem, not a solution-design exercise. Your task is to define the retention drop clearly, identify where the decline is concentrated, validate whether the issue is real, and build a structured set of hypotheses that can be tested with product, business, and user evidence.

Consider the student context specifically: students may use Lightroom across desktop, mobile, web, school-managed licenses, discounted individual plans, short-term coursework needs, and creative workflows that overlap with tools like Canva, CapCut, Google Photos, Figma, or AI-based editing apps.

The experience should consider:

- How retention is defined, such as day/week/month retention, subscription renewal, active editing sessions, or project completion behavior

- Which student cohorts are affected, including new vs. existing users, mobile vs. desktop users, paid vs. school-provisioned access, geography, course timing, and acquisition channel

- Whether the decline is a true user behavior change or caused by instrumentation, logging, identity, plan eligibility, or data pipeline issues

- Recent product, pricing, onboarding, performance, AI feature, storage, export, or login changes that could affect student usage

- Student workflow friction, such as importing photos, editing speed, cloud sync, collaboration, presets, exports, device constraints, or learning curve

- External factors, including academic calendar shifts, competitor campaigns, changes in school licensing, social content trends, or alternative creative tools

- Evidence needed from analytics, customer support, app reviews, surveys, funnel data, subscription data, and qualitative student interviews

- Mitigation and prevention considerations, including how to prioritize fixes, monitor recovery, and prevent similar retention surprises

Your goal is to walk through a clear RCA approach that narrows the problem from a broad retention decline to the most likely drivers, explains how you would validate or rule out each hypothesis, and identifies the immediate actions and longer-term monitoring needed for Lightroom’s student segment.