The IBEAR Almanac

PART I

Course dynamics

Seven findings, in rough order of practical relevance, each ending with a recommendation. Scope: one cohort, 53 people, about seven observed months. The counts are solid; any threshold or rule of thumb is a hypothesis for your year to confirm or reject.

Community factors topped the exit-survey satisfaction ratings.

The top five “extremely satisfied” factors in the exit survey are all community and environment — facilities (30%), student collegiality (24%), technology (23.5%), IBEAR culture (21.6%), Park La Brea (21.6%) — none academic. Small print: n≈50, and a few votes separate the ranks. The two best-rated career services were the Silicon Valley trek (34%, 17 votes) and the Seattle trek — shared journeys, not workshops.

So what: plan and budget community-building deliberately from week one — owners, calendar, money. In this cohort’s survey it mattered more than anything else measured.

Group activity followed the academic calendar: August peak, January low.

Message traffic per observed day: 148/day at the August orientation peak, declining to 78/day in January as recruiting intensified — a 47% drop. December’s international trip briefly pushed it back to 114/day. This is one cohort’s curve, but it tracks fixed calendar events — orientation, the trip, recruiting — so a similar pattern is plausible for other years.

Message volume through the year

Messages per observed day across the three class channels — IBEAR 40, Jul 2017–Feb 2018

Hatched months are partially observed (the export starts 13 Jul and ends 7 Feb), so rates, not raw totals, are compared. Earlier IBEAR 40 material called February the “valley” — that was a truncation artifact; per-day, the low point is January.

So what: front-load community building in July–August, when participation peaks, and plan January activities in November. If the pattern repeats you’re prepared; if not, the cost of preparing was low.

The channel mix shifted through the year: Fun fell, Career rose.

IBEAR 40 ran three channels: Fun (62% of all traffic), logistics (34%) and Career (4%). Over the observed months, Fun fell from 82.5% in July to 52.1% in early February, while Career went from zero to 20.3% — that last figure covering only the seven observed days of February’s recruiting crunch.

Message share by channel

Monthly, across the three class groups — IBEAR 40

Fun Logistics (IBEAR) Career

So what: counting messages by channel takes minutes a month and gives you a trend line. If you want a tripwire, ours would be Fun under 50% or Career over 20% — noting that IBEAR 40 never crossed the first, so both are hypotheses, not validated thresholds.

The highest-traffic days were all shared experiences, designed or not.

Each of the ten biggest message days maps to a shared experience — a designed one (team formation, the trip, a wine night) or a shared ordeal (quiz panic, moving week) — never to routine:

Aug 03293orientation team formation
Dec 07252pre-trip logistics + finals stress
Nov 17247quiz panic, trip planning
Dec 11235post-trip celebration
Jul 21233housing coordination

So what: the events calendar is the part you control — the designed events (team formation, the trip, wine night) all produced peaks. One planned shared experience a month, two during the January trough, is a reasonable starting cadence.

Five people produced a third of the traffic.

The top five talkers produced ~35% of all messages, and the engagement data separates roles: some people start conversations, others keep them alive — the 2018 workbook’s engagement ratio (replies per conversation started, hand-coded then) peaked at 56.7. The cohort’s baseline: 87.4% of the 1,252 conversation starters got a reply.

So what: identify your connectors by measuring — count messages for a month, note who starts and who sustains — and spread the load before they burn out. Watch the reply rate too: 87% was this cohort’s baseline, and a sustained drop would be an early warning sign.

Thanks had the broadest participation of any theme in the chat.

In the fall term, 94% of the 49 regulars expressed thanks at least once — about 1,180 gratitude messages across the observed months, median length just 24 characters. Celebration ran right behind it (92% that term); no other theme matched those two.

So what: a weekly public shout-out ritual costs nothing and builds on a behavior nearly everyone already does. Whether gratitude builds cohesion or only reflects it, this data can’t say — but as rituals go, this is the lowest-cost one available.

Regional communication styles differed measurably.

IBEAR 40’s conversation-diversity index held at 0.76–0.78 (1.0 = perfectly mixed; the index and the regional tallies below come from the 2018 workbook’s hand-coding, reported as found). Regional styles differed: Latin Americans led laughter (40.6 per person), India wrote the longest messages (42.9 chars) and thanked most, and East Asian classmates were engaged repliers but started the fewest conversations (5.9 per person vs. 18.8 for Latam).

So what: don’t read quietness as disengagement — the numbers are consistent with different conversational styles. Mix regions in teams and events, route regional alumni activities through the whole cohort, and track mixing rather than volume. 0.75+ is IBEAR 40’s measured baseline, not a validated norm — and the official channel can’t see side chats, so it’s a partial reading.

To verify or extend any of this: the full anonymized method (theme extraction, reply-rate logic, diversity index) is in the IBEAR 40 knowledge base. Running the same analysis on your cohort would turn these single-cohort observations into a comparable series.

PART II

The alumni atlas

Where 1,864 alumni from IBEAR 1–40 were working as of the Sep 2017 database snapshot. Filter by industry and era; click a country for its profile. Counts only — for names, ask the program office or search “USC IBEAR” on LinkedIn.

Data: Sep 2017 snapshot · 1,864 records Drop an IBEAR Alumni Database.xlsx anywhere on this section (same columns). If this page is served from a folder, a file with that name sitting next to it is picked up automatically. Loading the file also unlocks the person-level directory below the map. Everything is processed in your browser — nothing is uploaded, and the shared page itself contains no names.

Industry Era

Circle area ∝ alumni count · hover or tap a circle

View current selection as a table

Country	Alumni	Share

Person-level directory

unlocked by your local file · never part of the shared page

Name	IBEAR	Country	Industry	Role	Company

Follows the filters above (industry, era, selected country). This table exists only in your browser session, rendered from the .xlsx you loaded — reload the page without the file and it’s gone.

READ

Reading the atlas

Most alumni work in their home country.

86% of alumni work in their country of citizenship. The network’s weight sits in Pacific Rim capitals — Tokyo, Seoul, Taipei, Jakarta, Bangkok — rather than around Los Angeles.

So what: for a market-entry, supplier, or country question about the network’s strong markets, odds are good there’s an alum inside that market. Check the map, then ask locally first.

Staying in the U.S. was the minority outcome.

Of 683 U.S.-based alumni, only 164 came from abroad — roughly 1 in 8 international alumni stayed. A base rate from four decades — and likely an overestimate, since some of the 164 were recent graduates recorded while still in the U.S.

No single industry dominates.

Consulting is the #1 recorded industry at just 7.5% of alumni with a recorded industry, followed closely by services, finance, electronics, telecom, manufacturing. The recorded footprint is generalist — spread across ~40 industries. (Industry is known for only 6 in 10 mapped alumni, so treat shares as indicative.)

So what: don’t network by industry label alone — filter the atlas, then ask the program office for the two or three right people. A thin network per industry means intros are scarce; prepare well for each one.

The median alum is ~25 years past graduation.

The database spans classes of 1979–2018; the median alum graduated around 2000. The role field is too sparse to say what each one does today, but most are deep-career contacts, not entry-level ones.

So what: ask for 20 minutes on a specific decision rather than “any openings?”, and close the loop afterwards with what you did.

Recorded employers with 4+ alumni

Employer names from the same snapshot — a signal of historical concentration, not current headcount.

Honesty box

Know what you’re looking at. Snapshot: Sep 2017, covering IBEAR 1–40 — people move, so treat this as the shape of the network, not a live directory. Recent-cohort rows were logged while that class was still in Los Angeles, which inflates the U.S. numbers somewhat. 73 alumni lack a work country and are omitted from the map; 39% lack a recorded industry and are excluded when an industry filter is active (the “n shown” counter tells you exactly what you’re seeing). Part I’s survey percentages come from one cohort of ~50 (some career-service items had under 20 votes) — treat them as strong hints, not laws. No names or contacts here by design — person-level intros go through the program office, your professors, and LinkedIn.