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Onboarding Experience

Theme: First-run friction and setup challenges across 8 interview sessions

Getting Started

First impressions of the setup flow

Onboarding › Setup flow
02:14
“I opened the app and immediately felt lost. There was no indication of what I should do first, just a blank screen with a menu bar.”
— P03, Sarah Chen
confusion frustration
Onboarding › First run
05:31
“The API key thing threw me. I didn’t know what an API key was or where to get one.”
— P07, James Rivera
confusion
Onboarding › Documentation
08:47
“I eventually found the README and it explained everything clearly. But I had to go looking for it — the app should have pointed me there.”
— P01, Emma Thompson
satisfaction frustration
Onboarding › Setup flow
03:22
“Honestly the install was fine. Brew install, done.”
— P12, Alex Kumar
satisfaction
Onboarding › Expectations
11:05
“I expected it to work like Dovetail. Drag files in, wait, get a report. The command-line thing was a surprise — not a bad one, just unexpected.”
— P05, Maria Santos
surprise
Onboarding › Learning curve
14:38
“Once I got past the first five minutes, everything clicked. The output is genuinely useful. But those first five minutes were rough.”
— P09, David Park
delight frustration
Onboarding › Mental model
06:52
“I didn’t understand what ‘pipeline’ meant in this context. Is it processing my files through stages? What stages?”
— P02, Lisa Okafor
confusion
Onboarding › Trust
09:15
“The local-first thing is what sold me. I can’t upload client recordings to a cloud service. That’s a non-starter for our compliance team.”
— P04, Rachel Kim
confidence

Analysis Quality

Accuracy of extracted themes and sentiments

Analysis › Theme accuracy
22:10
“The themes it extracted were actually pretty close to what I would have done manually. Maybe 80% overlap. The 20% it got wrong were edge cases.”
— P01, Emma Thompson
satisfaction
Analysis › Sentiment
18:33
“It tagged a clearly sarcastic comment as ‘delight’. That’s... not great.”
— P06, Tom Williams
doubt
Analysis › Quote selection
25:44
“Some of the quotes it pulled were really good — ones I might have missed on a first pass through the transcript. That’s the real value.”
— P03, Sarah Chen
delight
Analysis › Coverage
30:02
“It completely missed the accessibility discussion. We spent ten minutes on it and there’s not a single quote from that section.”
— P08, Nina Patel
frustration
Analysis › Clustering
27:18
“The groupings make sense. Like, it put all the navigation complaints together and all the performance complaints together. That’s what I would have done.”
— P11, Chris Taylor
satisfaction
Analysis › Speed
15:09
“Eight interviews in forty minutes. That would have taken me two full days.”
— P05, Maria Santos
delight
Analysis › Handoff
35:20
“I sent the report to my PM and she immediately understood the key findings. Usually I have to walk people through my analysis. This time the report did the work for me.”
— P09, David Park
delight confidence
Analysis › Friction points
20:45
“The friction points section is gold. It surfaces the pain without me having to hunt for it.”
— P10, Aisha Johnson
satisfaction
Analysis › Repeat patterns
32:11
“Three different participants said almost the same thing about the navigation, and it grouped them together. That’s strong signal.”
— P01, Emma Thompson
confidence
Analysis › Edge cases
28:55
“It struggled with the bilingual participant. Half the quotes were in Spanish and it just... ignored them.”
— P07, James Rivera
frustration doubt

Report Output

Presentation and usability of the generated report

Report › Visual design
40:12
“It looks professional. I could show this to a client without being embarrassed.”
— P04, Rachel Kim
satisfaction
Report › Editing
42:30
“Being able to edit the quotes inline is brilliant. I can clean up the ums and you-knows without leaving the report.”
— P03, Sarah Chen
delight
Report › Navigation
38:05
“With thirty-plus themes, the report gets long. I need a way to collapse sections I’m not interested in right now.”
— P11, Chris Taylor
frustration
Report › Search
44:18
“The search works well. I typed a participant’s name and it highlighted all their quotes across every theme.”
— P10, Aisha Johnson
satisfaction
Report › Dark mode
46:02
“Dark mode just works. Thank you.”
— P12, Alex Kumar
delight
Report › Export
48:33
“I wanted to pull quotes into a Keynote deck but the CSV export doesn’t include the theme headings. I had to manually track which theme each quote belonged to.”
— P06, Tom Williams
frustration