Sophie Turner

Sophie Turner

Design leader
#101129750 followers2 following
☀️ 2 day streak
>10,000All time
20 KP

About

A two-time finalist and Service Design category winner in the Vic Premier’s Design Awards, I bring over 25 years’ experience in human-centred design, blending qual and quant research to uncover deep customer insights. I have a proven track record of leading multidisciplinary teams, scaling design capability, and embedding product design practices and agile development processes that align customer needs with business strategy. My leadership style is deeply collaborative, values-led, and focused on creating the conditions for teams to do their best work—balancing craft with coaching, and vision with delivery. I thrive at the intersection of product, design, and engineering to drive strategic outcomes.

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Forums

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4h ago

If people can use your product before signing up, how do you attribute the signup?

Attribution problem I haven't solved, for anyone running a try-before-signup flow.

Last week I took the account requirement off the front of my product. You can now use the main thing without signing up; the account is only needed to export what you made. It was clearly right for the product nobody understood it from a description, and they understood it immediately once they'd used it on something of their own.

My measurement fell apart the same week.

  • Top of funnel widened, conversion rate collapsed, and neither number is comparable to the month before. I don't have a trend line any more, I have two unrelated datasets.

  • The compute is real, and it's spent on people I can't identify, can't email and can't count. Costs moved before any of the good numbers did.

  • Worst one: somebody tries it anonymously, leaves, comes back four days later and signs up. In analytics that's a cold direct signup. Whatever actually did the work gets credited with nothing.

space ocrp/space-ocr•

1d ago

space ocr update #2

It was a week of refactoring: one response shape across every surface, the structure behind it pulled into one place, and the bugs that turned up while I was in there.

The shape. /ocr/fields, /ocr/markdown and /ocr/text now return the same four keys. values is your data, exactly the schema you asked for and nothing else. cells is a flat map keyed by path, one entry per value, carrying box and quad (both always present, normalized 0 1000), verified, review, and the raw evidence behind that verdict. review is the summary: declared, returned, boxed, verified, flagged[], by_reason. image is the source size, for turning the normalized boxes back into pixels. Full shape with a worked example: https://space-ocr.com/docs#post-...

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