LECTURESConsulting Skills01

Ph.0 Vision & Background

IR-Driven Business Issues

Build hypotheses about business issues from IR materials

A hands-on course where you discover the operational structure and department-level issues of a fictional company, "Azika Foods," on your own — using its IR briefing materials. Build the habit of asking "why?" from the way the numbers move.

IR-Driven Business Issues

─ ARTICLE COVER

Consulting SkillsPh.0 Vision & Background

§I ─ POSITION

Where this course fits

The entry point of Ph.0 "Vision & Background." Before the client kickoff, experience the difference between bringing your own hypotheses to the table and merely going around collecting answers in discovery.

§II ─ TAKEAWAYS

What you will learn

  1. 01

    Read distortions in the business structure from the way the numbers move in financial reports

  2. 02

    Connect the interplay of revenue mix, gross margin, inventory, and labor cost back to actual operations

  3. 03

    Walk into the first client meeting ready to bring a hypothesis and debate it, not just listen

§III ─ EXCERPT

Excerpt from the course

01

IR materials are a goldmine

A listed company's IR materials embed clues about its operational structure as numbers. A rising SG&A ratio, deteriorating days of inventory, a margin drop in a specific segment — every one of these traces back to the work of some department. The skill of reading them decisively changes the quality of the hypotheses you build before discovery.

02

The 5 sections to always read (in order)

Whole → cost → business → department → management. This order steadily narrows down where the problem lives. The sequence matters.

#SectionNumbers to watchStarting point of the hypothesis
Performance highlights3-year trend of revenue, operating profit, operating marginOverall trend (growth / plateau / decline)
Cost structureRaw-material / manufacturing / logistics / SG&A ratiosWhich cost is squeezing profit
Segment performanceRevenue, profit, YoY for each segmentWhich business is carrying the company
Department KPIsDays of inventory, turnover rate, automation rate, etc.Where the operational distortion sits
Risks & mid-term planLikelihood of each risk / countermeasuresHow management perceives its priorities

03

The 3 comparison axes for anomaly detection

When you look at a number, always compare it on three axes: year-over-year (time), industry comparison (space), and absolute level (benchmark). On a single axis you cannot separate an "industry-wide trend" from a "problem unique to this company."

  • Time: treat ±5% YoY as an "anomaly," ±10% as a "structural change"
  • Space: a ±20% gap from the industry average suggests "special circumstances"
  • Absolute level: 30–35 days is standard for inventory turnover in food manufacturing; over 60 days suggests broken control
  • Benchmark examples: factory utilization of 85–90% in manufacturing; an industry-average turnover rate of 6–8% in manufacturing

04

Standard patterns for forming hypotheses from numbers

Recurring movements in the numbers have typical operational causes behind them. Those are the starting points for hypotheses.

  • Days of inventory ↑ → poor demand-forecast accuracy / ordering too early / falling demand
  • Raw-material ratio ↑ → unit-price increases / worse yield / weak bargaining power
  • Turnover rate ↑ → worse working conditions / less competitive pay / unclear career path
  • Every DX initiative marked "planned" → budget shortage / talent shortage / how serious management really is
  • SG&A ↓ + margin ↓ → cost-cutting to buy time. The real issue is the structural problem in raw-material and logistics costs

05

The "Sky → Rain → Umbrella" frame

Turn a fact in the IR materials (sky) into a hypothesis (rain), then into the next verification action (umbrella).

Sky (fact)Rain (hypothesis)Umbrella (verification action)
Days of inventory went 42 → 56Inventory management is manual and person-dependentCheck the order data for late-night and emergency orders
Purchasing dept turnover 12.4% (company-wide 7.8%)There is a load specific to the purchasing deptConfirm the overtime reality in a department interview
Every item on the DX roadmap marked "planned"A plan exists but there is no execution structureCheck budget and staffing in an IT-department interview
Price pass-through rate 39% (industry 68%)Weak negotiating power / customer profitability isn't visibleAsk sales about the state of per-customer profitability tracking

06

Phrases to watch (do not skim past)

IR documents soften their wording. When you see the following phrases, always read what's behind them. "Partly due to ~" may be hiding another main cause, and "largely in line with plan" can turn out, once you check the numbers, to be a miss.

─── Continue in the download edition ───

§∞ ─ DOWNLOAD

Get the full materials, exercises and answers
in the download edition.

─ EXERCISE

12 exercises plus a bonus question. It includes a workout where, from an IR statement like "days of inventory worsened from 60 to 90," you hypothesize which department's work holds the bottleneck. Comes with sample answers and grading points.

Lecture slides

Every slide of the course

Cheat sheet

Quick reference for the field

Exercises

With answers and grading

Advanced / test

Hands-on plus rubric

INCLUDED PDFS ─ 7files

IT Consulting Guidebook | A Systematic IT Consulting Method Across 18 Lessons, from IR Analysis to PM | IPLoT Inc.