I read 201 business analyst postings. Fifty-nine of them never mention business analysis. Chad Wambles · November 2026 I collected every remote business analyst posting LinkedIn showed me over a fifteen day window. Two hundred and one of them. Then I wrote a parser that reads each one and records which of forty-five professional capabilities it actually asks for, from writing user stories to querying data with SQL to running a UAT cycle. I was looking for specializations. The

Ask which project management tool is cheapest and you will get an answer. Ask it again with one requirement attached and you get a different one, at eighteen times the price. I spent a week reading pricing pages: sixty-two paid tiers across fifteen vendors, every price on both billing cadences, every seat cap, every seat minimum, and thirteen capabilities recorded tier by tier. Then I built the thing that does the arithmetic, which is an Excel workbook rather than a dashboard

Three rankings of the eleven country pavilions, and no overall score. Any single number would need weights, and the weights turn out to decide more of the answer than the data does.

Bad service is one of the strongest negative signals in 21,656 labeled Reddit paragraphs about Orlando theme parks. Good service has no detectable effect.

I spent a few weeks turning 604 Walt Disney World trip reports into a guest journey map. Eleven stages, from booking a hotel to flying home, each one rated bad, neutral or good by the person who lived it. Almost every stage came back positive. Rides scored +65, resort stays +62, dining +51. Cast members, fireworks, characters, all comfortably in the black. One stage went negative: park entry and crowds, at -6. It's the only part of a Disney trip that guests, on balance, do no

Last year a run of articles reported that Walt Disney World had gotten noticeably emptier. Most of them leaned on the same kind of evidence: third-party wait time trackers showing crowd levels at multi-year lows. Disney, meanwhile, was describing attendance as broadly stable. Both things looked true at once, which is what made it interesting. A posted wait time measures how long a queue is, not how many people walked through the gate. There are several reasons those two numb

Live tool: https://personavalidator.app Walk-through trailer: The problem I kept running into Personas are supposed to anchor product decisions. In practice, most are invented. Someone writes up a plausible-sounding user, gives them a name and a stock photo, and the team treats that fiction as evidence for months. When a stakeholder asks "how do we know this persona is real," the honest answer is usually that we do not. That gap bothered me enough to build a tool that closes