Mihaela Draghici
Through the Language Mapping Workshops & The Language Mapping Blueprint, Mihaela helps product leaders and teams get clear on how they talk about problems, priorities, ownership, outcomes, and success. She believes that when teams align on language, collaboration speeds up, trust increases, and execution becomes calmer and more effective.
13 guides by Mihaela Draghici
Product sense case study exercise for product managers
This is Builders Camp's Product Sense practical challenge: make a defensible product call on an ambiguous, thin data...
Andre Albuquerque & Mihaela DraghiciWhat Is Product Sense?
Product sense is the ability to make good product decisions when the answer is not obvious, and it shows in what you...
Andre Albuquerque & Mihaela DraghiciHow to measure feature success: connect the outcome to a behaviour, a metric and a guardrail
Measure a feature by writing, before it ships, five links: the business outcome, the user behaviour that must change...
Andre Albuquerque & Mihaela DraghiciProduct Decision Making Framework
A good product decision making framework is a seven-step checklist you run before committing: name the problem, gather...
Andre Albuquerque & Mihaela DraghiciMihaela Draghici
Mihaela Draghici directs Product Sense, Builders Camp's bootcamp on framing product problems and deciding under...
Andre Albuquerque & Mihaela DraghiciProblem Statement Template
A useful problem statement separates what was requested from the problem underneath it and the outcome you want to...
Andre Albuquerque & Mihaela DraghiciHow to use AI for customer feedback analysis without losing the evidence
Customer feedback analysis with AI holds up when the codebook exists before the model runs, every theme carries...
Andre Albuquerque +2How to use AI for customer interviews without handing it the room
AI belongs in three slots around a customer interview and in none of them during it: drafting and de-biasing the guide...
Andre Albuquerque +2How to use AI for jobs to be done research on real transcripts
A job statement is only as good as the struggling moment behind it, and that is the exact part a model invents first...
Andre Albuquerque +2How to use AI for persona research that survives its first challenge
A persona built by AI is only as good as the transcripts behind it, and the useful discipline is one extra column: for...
Andre Albuquerque +2What AI for product discovery actually speeds up, and what it quietly breaks
AI safely speeds three parts of a discovery loop and should not touch the other two. Recruiting messages, interview...
Andre Albuquerque +2How to use AI for usability test analysis without losing the evidence
A model will code five transcripts against your code list in minutes and tally how many participants hit each problem...
Andre Albuquerque +2Which AI tools for user research fit which kind of research?
Pick the tool from the research type, not the other way round: transcription plus a general model covers moderated...
Andre Albuquerque +2