Launch a new product
The same target buyers behind the concept, name, price and message.
A product team deciding whether to launch, a pricing committee weighing a rise and a brand team planning a rebrand each face one decision with a date on it. This index sorts customer research by that decision, so a team can start from the choice in front of it rather than from a method it already knows.
Pick a decision and the page behind it sets out what that decision needs to learn, who to hear from and the study that answers it. The decisions run from early ideas to running businesses: concepts, features and names before a build; prices, positioning and creative before a launch; onboarding, churn and loyalty once customers are in.
In each, the study runs the same way on Pulse. The team writes a brief, and the AI-moderated interviews ask its questions, build each follow-up on what a person said earlier and ask again when a reply is vague. Themes come back with the quotes behind them, and every study stays in the Insights library, queryable across projects, so the next decision starts from what customers already said.
The same target buyers behind the concept, name, price and message.
Build, change or stop a product idea, on buyers' scores and reasons.
Price points and tier contents set from what buyers value.
Separate the table stakes from the differences buyers credit only to you.
The same target buyers behind the concept, name, price and message.
Build, change or stop a product idea, on buyers' scores and reasons.
Price points and tier contents set from what buyers value.
Separate the table stakes from the differences buyers credit only to you.
Finished cuts judged before the media buy, version by version.
Why customers leave, compared with those who stay, and where it started.
Where the first weeks stall, heard from admins and users apart.
What decided each deal, told by buyers to an AI moderator.
A customer-set ranking that late escalations have to beat.
Shortlisted names heard, spelled and searched before one is chosen.
Top tasks and content cuts decided before the migration starts.
Your brand against each rival, every wave, with the weak measures explained.
Personas tied to real decisions, each sized by how common it is.
Bottom-up sizing inputs, measured by segment from the buyers themselves.
Needs-based segments, measured, drawn in full and kept current.
Will loyal buyers still know the pack, and what does it signal?
Score reasons sorted into frontline fixes and causes leadership owns.
Every role on the buying committee, and what puts suppliers on its list.
Who would miss your product most, and what stops everyone else.
Brand equity named by customers, and routes judged by loyal and new.
A lead message, its support and its proof, tested before the brief.
Why customers switch to you, and why others switch away.
From trigger to checkout, drawn from online and in-store buyers alike.
A weekly customer study that feeds the product team's opportunity tree.
Move off quarterly waves without breaking years of trend data.
Several countries fielded together, for one global decision on matched evidence.
Beyond the reference list to the customers a target did not pick.
Rough ad ideas judged by the audience before anything is shot.
The buying moments in your category, and which brands buyers link to each.
How each customer segment will take a change to what it pays.
Whether the users a feature targets would change a habit for it.
Workarounds people built, read as signs of needs worth solving.
Best-fit and poor-fit accounts compared before territories are set.
Your study design, run the same way at the sample it needs.