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Product management / 3 min read

UniPilot

Help students see what their degree needs next.

Academic planning with a focus on useful priorities, understandable requirements, and reasons for students to return.

Context
Academic planning product
My focus
Product strategy and prioritization
Evidence
Five scored backlog features

01 / Context

The problem and my role

Students need to connect grades, completed courses, remaining requirements, and prerequisites. A GPA number alone does not explain whether their study plan is on track.

I worked on the product vision, requirements, user stories, feature priorities, and delivery planning. The product documentation includes an SRS, system diagrams, and a roadmap. This case focuses on the reasoning behind the priorities.

Student reviewing progress

Understand where they stand and which requirement needs attention.

Student planning registration

Choose the next action with enough context to avoid a preventable conflict.

The experience at a glance

  1. 01Review degree progress
  2. 02Identify a missing requirement
  3. 03Understand the next action
  4. 04Return to check progress

02 / Product judgment

The choices that shaped the work

The central question

Should the highest scoring feature always be the next thing delivered?

01Use scoring as an input to judgment

Registration reminders scored 50 and the degree audit scored 25. Both were placed in Now, ahead of the GPA calculator at 30.

Why it matters
Reminders are a useful prompt; the audit tracker gives students a reason to open the product.
The tradeoff
The audit takes priority despite its lower score. That judgment should be tested through repeat use.

02Make missing requirements actionable

Explain what is missing and what the student can do next. Give empty states a clear explanation.

Why it matters
A warning is only useful if the student understands how to respond.
The tradeoff
Requirements need to be accurate and understandable. Trust in the audit remains an open question.

03Keep AI recommendations in Later

Prioritize the checklist, reminders, and planning basics before a study-plan recommender.

Why it matters
First learn whether students want guidance beyond a clear account of their requirements.
The tradeoff
The product offers fewer novel features initially, in exchange for a tighter focus on trust and return use.

03 / Evidence

The actual prioritization

The product notes use RICE: reach × impact × confidence ÷ effort. These scores support the roadmap; they are not usage results.

FeatureRICE scoreRoadmap
Registration deadline reminders50.0Now
Degree audit tracker25.0Now
GPA what-if calculator30.0Next
Prerequisite conflict checker16.0Next
AI study plan recommender4.0Later

04 / Evaluation

What I would measure and why

Measures to review or validate next. These describe the evaluation approach, not achieved improvements.

MeasureWhat to examineWhy it matters
Weekly return to the auditTrack whether students revisit their degree progress across weeks.Distinguish a useful repeat habit from a one-time setup visit.
Checklist drop-offObserve where students stop in the requirements checklist.Investigate whether the issue is unclear wording, missing information, or a task they cannot complete.
Understanding the next actionAsk a student to explain the next step after seeing a missing requirement.Use task observation before interpreting clicks as comprehension.

05 / Outcome

Where the work stands

The work produced an academic tracking product and a documented product direction: five prioritized features, stories with acceptance criteria, and a Now, Next, Later roadmap. Delivery is organized around two-week sprint goals.

What comes next

  1. Measure weekly return and checklist drop-off before making retention claims.
  2. Test whether students trust the audit without a registrar’s sign-off.
  3. Investigate whether missed prerequisites are the most common source of delay or simply the most memorable.

My takeaway

The reason a student returns matters more than a feature’s score in isolation. Prioritization needs both an explicit method and an explanation of the judgment behind it.

Based on UniPilot product notes and documented backlog priorities.

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