
P1
Design/UX lead, logistics-tech software vendor

Table 4.1 · Who spoke
Supply chain and logistics, banking IT, higher education, software engineering, logistics technology, government human services, and frontline manufacturing. Y = clearly evidenced, P = partial or adjacent, — = not evidenced.
All faces are AI-generated, imaginary human icons—not participant photographs. They do not represent participants’ actual appearance, age, gender, or ethnicity. Research identities remain P1–P12.

P1
Design/UX lead, logistics-tech software vendor

P2
VP/Head of Operations, supply-chain distribution

P3
Founder, logistics-data tech startup; former operations/consulting

P4
IT professional, banking sector

P5
Higher education administrator / adjunct faculty

P6
Backend software engineer, observability platform

P7
QA / software test analyst, state government

P8
Frontline production employee, manufacturing/assembly

P9
Frontline production/warehouse employee, wind energy manufacturing

P10
Logistics manager, wind energy manufacturing (multi-facility)

P11
Buyer/procurement specialist, supply chain (purchasing)

P12
Frontline production/operations employee, wind energy manufacturing (mobile reporting)
| ID | Role / field | Frontline | Manager | Supply chain | IT / data | Dashboard / BI | ERP | AI |
|---|---|---|---|---|---|---|---|---|
P1 | Design/UX lead, logistics-tech software vendor | — | — | P | P | Y | Y | Y |
P2 | VP/Head of Operations, supply-chain distribution | — | Y | Y | — | Y | Y | Y |
P3 | Founder, logistics-data tech startup; former operations/consulting | — | Y | P | P | Y | Y | Y |
P4 | IT professional, banking sector | Y | — | — | Y | Y | Y | — |
P5 | Higher education administrator / adjunct faculty | — | — | — | — | P | — | Y |
P6 | Backend software engineer, observability platform | Y | — | — | Y | Y | — | Y |
P7 | QA / software test analyst, state government | Y | — | — | P | P | — | Y |
P8 | Frontline production employee, manufacturing/assemblyNo direct access to any data system — information received exclusively through verbal briefings. | Y | — | P | P | Y | — | — |
P9 | Frontline production/warehouse employee, wind energy manufacturing | Y | — | P | P | Y | Y | Y |
P10 | Logistics manager, wind energy manufacturing (multi-facility) | — | Y | Y | P | Y | Y | Y |
P11 | Buyer/procurement specialist, supply chain (purchasing)Built a personal “cheat sheet” of validated data outside the ERP after recurring data-quality problems. | — | — | Y | Y | Y | Y | — |
P12 | Frontline production/operations employee, wind energy manufacturing (mobile reporting) | Y | — | P | P | Y | P | Y |

Verbatim evidence
“The data became much more meaningful when leadership explained the story behind the numbers.”
P5Theme 02“We somehow assume the person who reads it understands what those numbers mean.”
P4Theme 02“I realized that data doesn't always tell the entire story by itself.”
P9Theme 02“You have the starting point, you have what changed, you have the impact, and then you have the response.”
P10Theme 02“If I simply put a spreadsheet on the screen, people may look at it, but they may not understand what they're supposed to take away from it.”
P10Theme 02“If I just report, 'Part missing,' that's not very useful. But if the system shows that it's needed for a specific operation or that the shortage is preventing us from moving forward, people understand the urgency better.”
P12Theme 02“If you show us that a certain supplier delay is going to stop a production activity tomorrow, people pay attention because now the data has meaning.”
P9Theme 02“It turns data from something people simply review into something they can actually use to improve their work.”
P5Theme 02“The data gets overwhelmingly boring at times because you're just doing the same thing over and over and over again.”
P11Theme 02“People start to go, oh, wow, I didn't realize this… And then the debate sparks, right? Then you start and they go, why did that happen?”
P3Theme 03“Some systems are easier to understand after somebody actually walks you through them.”
P9Theme 03“The ERP system provides the data, but the decision still requires human interpretation.”
P10Theme 03“When they see that the warehouse responds and the material arrives, they understand that reporting the information actually helps the operation.”
P12Theme 03“If employees report shortages and nothing happens, eventually they may stop using the process.”
P12Theme 03“Even when they're there, they're not a proper training that's involved and then everybody has their own way of looking at those data.”
P11Theme 03“Some executives, they don't have the full stories. They just see someone prepared that number and they started announcing it.”
P4Theme 03“Visuals reduce connective load because they allow you to recognize the patterns much faster than reading tables full of numbers.”
P5Theme 04“If I see a dashboard showing overdue deliveries, for example, I can understand the situation much faster than if somebody gives me a spreadsheet with hundreds of rows.”
P9Theme 04“I think a good dashboard should answer three questions: What happened? Why does it matter? And what do I need to do?”
P9Theme 04“The same information, the same metric, the same dashboard, the same report is and will always be interpreted in different ways by different level of people.”
P7Theme 04“When you start putting stuff on a map, right? It sounds so simple, but… you show them something they did not know.”
P3Theme 04“A number by itself doesn't always catch my attention. But if something is highlighted or there is an indicator showing that action is needed, I notice it much faster.”
P12Theme 04“The dashboard tells us what is happening, but the people on the floor provide the context.”
P12Theme 04“It confuses you. A lot of people don't know how to read bars or graphs.”
P8Theme 04“Employees trust the information more when there is a connection between what the system says and what we actually experience.”
P12Theme 05“I'm always very skeptical, right, when I see people presenting data, because I know what it takes to get a data set in good shape.”
P3Theme 05“The story doesn't change if you take out 2% of the data, right? The story stays the same.”
P3Theme 05“Employees engage more often when data is directly connected to their work and when leaders explain why the information matters.”
P5Theme 05“Transparency, context… context and consistency are what build trust for me.”
P5Theme 05“If there's a conflicting information going around, that just defeats the purpose of the data coming out of the system.”
P11Theme 05“Trust is earned. It's not given.”
P8Theme 05“They'll tell you, oh, the deadline is two months from now, but the deadline is really six months from now… they spin you.”
P8Theme 05“I want something that makes an impact on me or to me, to my group, to my team. Tell me something that will help me, obviously.”
P2Theme 05“If I'm working in the warehouse and someone shows me a dashboard with 20 different metrics that don't relate to my work, I'm probably not going to remember much of it.”
P9Theme 05“If I show somebody 15 different KPIs and don't explain which ones matter, I've probably created more confusion than understanding.”
P10Theme 05“That's top level management controlling the information that's filtered down.”
P2Theme 01“It varies greatly depending on the level of the management, right?... the only data they see is really tactical information.”
P3Theme 01“Once I submit the missing-part information, it becomes visible to the people who are responsible for material support… the information is coming directly from the person who is experiencing the problem.”
P12Theme 01“If that information is incorrect, then the demand signals or the information you're getting out of the ERP is also incorrect.”
P11Theme 01“We don't get data. We don't get data like no computer. So when I get my information, I get my information from my boss.”
P8Theme 01“Once you use it a few times, it becomes part of your normal work process.”
P12Theme 06“Sometimes I can look directly in the system, but sometimes I depend on someone explaining what the numbers actually mean.”
P9Theme 06“If you do the prompts right and give them the instruction to AI, hey, give me detailed storytelling. It tells you exactly like, hey, your sales are high in this region, you can… expand more on this on this channel.”
P3Theme 06“The interesting thing is what the context you need to give it, right? And the domain knowledge that you need to give it… it tells you a lot of the obvious.”
P3Theme 06“I wouldn't automatically trust an AI-generated explanation without checking the original data.”
P9Theme 06“I think AI can be useful for finding patterns or helping communicate information, but I would still want the original data validated before making an operational decision.”
P10Theme 06“I could see AI being useful in the future for identifying patterns — for example, if the same part keeps being reported as missing or if certain shortages happen repeatedly.”
P12Theme 06“SAP and Oracle are this gold standard. They're just the gold standard within the industry.”
P2Theme 06“ERP works only when the information entered in the system is accurate.”
P11Theme 06