Gapped text

So, later that month, I met Lena in a quiet café to talk about her experience caring for her father, who had dementia. This time I began with something smaller than a question: a pause. When she started speaking, I resisted the urge to label her story as “inspiring” or “difficult”, and I let her choose the words. However, the hardest moment came when she stopped mid-sentence and stared at her hands. In the old days I would have filled the silence; instead I waited, and she continued with a detail that changed the whole piece.

That became obvious when Marta, the producer, handed me a pair of headphones and pointed at a wavering soundwave on the screen. “Don’t fix it yet,” she said, as if reading my mind. “Hear what’s underneath.” At that point I only heard flaws: a cough, a chair scrape, a sentence repeated twice. However, Marta kept pausing the recording at the same moment, where an interviewee’s voice dropped on one word, and she asked why that tiny hesitation mattered.

A month later, when the station partnered with the university’s media lab, everything shifted towards speed and certainty. We were suddenly told to standardise the interviews, stick to pre-approved questions, and run every voice through an AI filter that evened out accents and removed pauses “for clarity”. The lab director, Dr Hargreaves, insisted that listeners preferred a clean, authoritative tone, so the series was rebranded with expert commentary and a brisk presenter-led script. Oddly, the more efficient the process became, the less anyone seemed to care what the original speakers had actually meant.

A week later I was holding a recorder in the open-air market, trying to interview Jamal, a fruit seller who had agreed to talk before his shift got busy. I began with questions I thought were efficient—about prices, about footfall, about whether he liked the neighbourhood. He answered politely, but his eyes kept flicking to the crates, and my “professional” tone made him sound like a survey response. Then, when a customer interrupted to ask for oranges, Jamal’s whole voice changed: suddenly he was warm, joking, alive.

That habit appeared at work first. In meetings I used to jump in with solutions, convinced that speed was the same as competence. Then I tried Marta’s method: I listened for the dropped word, the change in tone, the moment someone became more precise because they felt safe. Surprisingly, colleagues began offering better ideas when I stopped competing with them for airtime. Moreover, when a friend admitted she was exhausted, I didn’t answer with advice; I asked what kind of help she wanted, and the conversation finally went somewhere honest.

The programme we were preparing was part of a series called Small City Stories, and its rule was simple: no experts, no studio polish, no clever narration to rescue a weak point. Instead, we recorded people in kitchens, on buses, and in the echoing stairwells of tower blocks, then built each episode around what they chose to say. Consequently, editing was less like tidying a room and more like deciding what kind of attention a stranger deserved.

Afterwards I replayed the recording and heard the difference Marta had been pointing to all along. The lively part wasn’t in my questions but in Jamal’s interruption, the moment when he stopped performing for me and responded to someone he genuinely cared about. Nevertheless, my first instinct was to cut that “messy” section out. Only when I imagined the episode without it did I realise I would be removing the most truthful minute we had captured.