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In focus groups, what matters most is often how something is said - not just what is said. 🔵 A nod while someone else speaks. 🔵 A shake of the head that contradicts a verbal “yes”. 🔵 Laughter that signals sarcasm, not humour. 🔵 Hands raised during rankings or voting tasks. These moments shape meaning, and they’re often non-verbal so they’re still best understood by humans, especially where there are multiple voices and the meetings are captured generally via video. That’s

Some of the world’s most infamous transcription and reporting errors have made headlines – from misquoted interviews to courtroom mishaps. A tiny mistake can snowball into a very big story. 💡 A favourite example: the ‘Dewey Defeats Truman’ headline blunder In 1948, the Chicago Daily Tribune rushed to print based on an early, unverified interpretation of election results. The paper proudly declared “Dewey Defeats Truman” – only for the real winner, President Truman, to hold

Did you know that behind every polished transcript, there’s a surprisingly chaotic workflow? Most people think transcription is a straightforward business: 🎧 Listen ⌨️ Type ✅ Done Gosh, if only! In reality, the process looks more like this: 1️⃣ Slow down the audio and rewind 10 times to catch that one mumbled acronym because you know it might be important to the client and you also just can’t let it go. 2️⃣ Double-check industry jargon (yes, Google now thinks I’m a quali

100% AI isn’t the future. 100% human isn’t perceived as offering the speed and cost-effectiveness that AI is able to offer. So perhaps the sweet spot lies somewhere in-between. There’s a lot of noise about automation right now. Some say machines will replace human transcription entirely. Many insist nothing can match a person’s ear for nuance. The truth? The strongest results come from combining the two. At Accu-Scribe, with our hybrid transcription service, we use AI for eff

What does transcription teach you? That the world is full of people waiting to be heard. Every transcript tells a story. Not just in the words, but in the pauses, the tone, the way someone hesitates before speaking. When we listen – really listen – we uncover far more than data. We uncover emotions, motivations, and meaning. For researchers and decision-makers, that’s priceless. Because insight doesn’t come from questions alone. It comes from listening to the answers in full.

Did you say hypertension or hypotension? That tiny moment of doubt says everything about why human-led transcription still matters, especially in healthcare and science. At Accu-Scribe, we once worked on a clinical interview where a single word like that could change the entire meaning of the data. AI-generated drafts missed the nuance. Our experienced transcribers didn’t because they understood the context, not just the sound. In healthcare and scientific work, transcription

One word can change everything.   Have you ever seen a misheard word completely change the meaning of a sentence? Imagine a business meeting where “increase the budget” is transcribed as “decrease the budget,” or a focus group where participant feedback is recorded incorrectly. These small errors can have surprisingly big consequences.   That’s why human transcription is so important.   While AI and automated tools are fast, they can’t always capture nuance, tone, or context.

Did you know that over 100 years ago, transcription was already solving real-world problems – with nothing but wax cylinders, trained ears, and a lot of patience and professionalism? In the early 1900s, investigators and journalists used early recording devices like Edison phonographs to capture interviews, confessions, and statements. But the technology was, at least by modern standards, far from perfect – fuzzy audio and mumbled voices made these recordings hard to decipher

One of the most rewarding aspects of my work is the opportunity to engage with cutting-edge topics in healthcare - and a recent project...