Spring 2027

Product Development Strategies in Retailing

Merchandise product development planning through market trend analysis, assortment planning sourcing production.

offering recorded3 credits
Recorded instructors · Spring 2027 Ron Katanick3.5/5Natalie McCann

Summary

1 / 5

Past student reviews · Ron Katanick

The first half project was initially confusing, but the instructor answered questions to clarify requirements.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

CNSR SCI 257

CNSRSCI 567

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.25/5 from 8 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 3.0/5 raw quality · 2.0/5 difficulty · 1 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Past student reviews · Ron Katanick

Ron Katanick taught with clear expectations and a helpful course guide, though students found his slide-based lectures boring. He clarified a confusing first-half project through direct answers, demonstrating strong mastery of the subject matter.

Recent recorded grades — Spring 2025: 3.82 GPA, 90.8% A/AB (n=65 letter grades); Fall 2025: 3.83 GPA, 94.9% A/AB (n=59 letter grades); Spring 2026: 3.34 GPA, 63.5% A/AB (n=63 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2024: 3.77 GPA, 91.1% A/AB (n=56 letter grades); Spring 2025: 3.72 GPA, 92.0% A/AB (n=25 letter grades); Spring 2026: 3.58 GPA, 75.8% A/AB (n=33 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

NATALIE MCCANN is recorded teaching in Fall 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

RON KATANICK is recorded teaching in Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Online (some classroom)0 / 600
LEC 002Online Only0 / 750

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
Download part 1

Student experience

the class

Past student reviews · Ron Katanick

Ron Katanick delivered lectures by reading slides, but students noted his clear expectations and course guide helped them stay on track.

Recent recorded grades — Spring 2025: 3.79 GPA, 91.1% A/AB (n=90 letter grades); Fall 2025: 3.53 GPA, 73.8% A/AB (n=103 letter grades); Spring 2026: 3.42 GPA, 67.7% A/AB (n=96 letter grades).

difficulty & workload

Past student reviews · Ron Katanick

The first half project was initially confusing, but the instructor answered questions to clarify requirements.

Past student reviews · Ron Katanick

A student found the lectures boring but appreciated the instructor's deep field knowledge and helpful course guide.

Grades

Historical instructor

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

6 earlier forecasts · 0.15 GPA average error.

Grades over time

Through Spring 2027

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Download part 1
Selected offering source records
CNSRSCI 567 · Spring 2027

Product Development Strategies in Retailing

Recorded 2026-10-29
Raw records 
[
  {
    "run_id": "20261029T213040-0fa85c20",
    "semester": "1274",
    "observed_at": "2026-10-29 21:30:40.248904+00:00",
    "offering_id": "1274:271:024440",
    "course_id": "CNSRSCI 567",
    "course_uid": "course_ecb5c8013d95412de5fbc16b",
    "term_id": "1274",
    "source_course_id": "024440",
    "source_subject_id": "271",
    "title": "Product Development Strategies in Retailing",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-29

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "c9e67ab895d2676ad0c418435636eeadb270d4b58d6da3a66ed66389ebe93a4c",
  "requirements_status": "valid",
  "dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
  "observed_at": "2026-10-29 21:30:40.248904+00:00"
}