Rapid research
Get up to speed on a brand fast: company, category, consumer and culture.
BeforeDays of desk research
NowA sourced first view in a few hours
What AI doesRuns structured prompts through Perplexity and ChatGPT, one set per C, each asking for answers with sources.
What I still doChecks the sources, throws out the generic, and spots the tension worth chasing.
The 4Cs give me the facts. The insight still comes from me.
Framework adapted from Julian Cole, Planning Dirty.
Stress-testing the approach
Test the project approach against marketing theory before anyone sees it, and make sure it holds together.
BeforeGaps found when the work came back
NowFixed before any work starts
What AI doesStress-tests my long-form brief against foundational marketing theory. Names the theory the brief is really relying on, flags contradictions between objectives, KPIs and creative, and checks for a real insight.
What I still doWrites the brief, judges whether the diagnosis fits this client, budget and moment, and owns the final version.
A sidekick I think out loud with. Problems solved before they become problems.
Built on foundational marketing theory, from the classic funnel to Ehrenberg and mental availability.
Qualitative research
Run interviews and find out what people really think.
BeforeHours of typing per interview
NowKey themes turned around rapidly
What AI doesRecords and transcribes each interview, writes a synopsis, then pulls out the recurring themes across all of them.
What I still doIs in the room. Body language, tone, the pause before an answer. Adds it to the themes, challenges what doesn't ring true, and decides the insight.
The same depth of research, without the days of transcription.
Customer journey mapping
Map how people discover, choose and experience something, and where it breaks.
BeforePresent it, then wait for the holes
NowHoles fixed before the client sees it
What AI doesBuilds the map stage by stage with me, from the client's documents and my research.
What I still doCarries out the research, runs the workshop, shapes the guiding principles, and decides where the real opportunities are.
A journey map that holds up first time, and becomes the backbone of the comms plan.
Example: a national outdoor tourism body.
Comms strategy and channels
Decide what to say, to whom, where and when.
BeforeOne message for everyone, channels on gut
NowOne message per audience and stage, channels verified
What AI doesBuilds tailored messages for each audience by stage of the purchase cycle, and tests my channel choices against validated research.
What I still doSets the segments, judges the messages, and forms the first view on channels from experience.
Every message does one job, for one person, at one moment, in the right place.
Examples: a national outdoor tourism body, and a B2B launch for a specialist logistics service.
Orchestrating agents
Run whole pieces of work through a team of AI agents, with me in charge.
BeforeOne person doing every task
NowA small production line I manage
What AI doesAgents on Buzz can handle research, copy and design, handing work to each other like a small team.
What I still doSets the direction, checks the work at every stage, and keeps the brand, its metrics and its identity at the centre. No agent drifts off brand.
It's like being the conductor of an orchestra.
Thinking out loud
Get ideas, prompts and first drafts out of my head quickly.
BeforeTyping at 30 words a minute
NowTalking at 200 words a minute
What AI doesWispr Flow turns what I say into text, straight into prompts and drafts.
What I still doDoes the thinking, out loud. Talking a problem through is how I find the angle.
I rarely type now. The ideas come out at the speed I think them.