
Audience research
Part of Audience research for creative software teams, from the decision to be made to defensible personas
Buyer personas for creative software that admit what they are guessing
Build advertising creative tools buyer personas from observed decisions and constraints, with assumptions labelled and a plan to replace them with evidence.
A useful persona is a compact account of a recurring decision pattern. It is not a stock photograph, a made-up name or a confident biography assembled before anyone has been interviewed. For a creative platform, build provisional role hypotheses first and promote them to personas only when fieldwork supplies traceable observations.
What to take away
- Start with a real buying situation and map the roles involved before writing any persona.
- Separate observations from interpretation and retain the trail from evidence to persona statement.
- Review and retire personas when the product, market or target workflow changes.
- Test each persona by pointing from a product choice to dated evidence in the ledger.
Begin with the buying situation
Map the people in one real choice: adopting an asset builder, replacing a design suite or adding governance to an existing workflow. Roles may include the person commissioning work, a hands-on maker, a brand or legal approver, an administrator and the budget owner.
Buying committee roles and evidence
Role
- Commissioner
- briefs work
- Maker
- produces assets
- Approver
- signs off brand
- Administrator
- manages access
- Budget owner
- funds purchase
Decision or task
- Commissioner
- budget limits
- Maker
- tool speed
- Approver
- legal risk
- Administrator
- permissions
- Budget owner
- cost caps
Observed constraint
- Commissioner
- interview notes
- Maker
- workflow observation
- Approver
- approval log
- Administrator
- admin audit
- Budget owner
- procurement record
Evidence source
- Commissioner
- Maker
- Approver
- Administrator
- Budget owner
These labels describe a buying committee to investigate. They do not claim that every English organisation has those posts.
For each role, open an evidence ledger with five fields:
- decision or task;
- observed constraint;
- source and research date;
- confidence and contrary evidence;
- product or procurement consequence.
One filled row might read like this. Decision: approve the final asset before handover. Constraint: two of six makers could not tell which export had been signed off. Source: prototype session, 12 March.
Confidence: moderate, with one contrary case where a file naming rule was enough. Consequence: test a status label before buying governance features.
The resulting persona statement is narrow: the approver needs a visible approved state at handover, to be confirmed in later sessions.
The GOV.UK discovery guidance recommends research across a broad range of users, including disabled people and those with low digital skills. Although the page addresses public services, that warning is valuable for commercial research: a persona built only from confident power users can hide access barriers and training needs.
Keep hypotheses visibly provisional
Before fieldwork, write statements as questions. "Does the approver need a retained sign-off trail?" is honest. "Alex, 38, always needs audit logs" invents both a person and a finding. Give every untested line an assumption tag and an owner. Add a date by which it must be tested or removed.
Turn assumptions into testable questions
Weak assumption
- Approver need
- Alex always needs audit logs
- Team size
- All teams need same feature
- Recruitment
- Friends represent users
- Deadline
- Assumption stays forever
Testable question
- Approver need
- Does approver need sign-off trail?
- Team size
- How do small vs large teams differ?
- Recruitment
- Are participants current or likely users?
- Deadline
- When must it be tested or removed?
Research participants should be current or likely users, according to the Service Manual page on participant recruitment. Recruit across relevant contrasts such as small and large teams, agency and in-house settings, regular and occasional production, or assistive-technology use. Do not treat friends, existing champions or the loudest client as a representative sample.
A rough working target is five to eight interviews per role. Stop when two sessions in a row add no new decision or constraint, or when the next role has more open questions than answered ones.
Convert observations carefully
After interviews or workflow observation, separate what happened from what the team thinks it means. The government method for analysing a research session advises recording individual observations before grouping them into findings. That separation makes weak inference easier to challenge.
From observation to persona statement
- Record individual observations
- Group into findings
- Retain evidence trail
- State what it supports
- Note what it does not prove
A persona statement should therefore retain its trail. For example: three participants could not identify the approved final asset in a supplied prototype. In a design suite study, makers may reach for version history before they open a shared library. Either observation supports further investigation of status cues in that context.
It does not prove that all agencies need the same feature, and it says nothing about willingness to pay.
Use direct quotations only when consent covers the intended use and re-identification risk has been assessed. A distinctive job title, client name or campaign detail may identify someone even after their name is removed.
Retire personas that no longer earn their place
Review the ledger when the product, market or target workflow changes. Retire a profile that no longer leads to a distinct design response, and delete decorative biography fields that do no work.
The final test is practical: can the team point from an interface, service or procurement choice to dated evidence in the persona?
Keep a change log beside every retained profile. Record which study added or removed a trait, who approved the revision, and which product choice depended on it.
A new interview does not automatically overwrite earlier evidence. The team must explain whether the difference reflects a separate segment, a changed workflow or a weak original inference. This history stops a neat slide concealing uncertainty.
Before you act
- Map one real buying situation and list the roles involved.
- Open an evidence ledger with five fields for each role.
- Write pre-fieldwork statements as questions with assumption tags.
- Recruit participants across relevant contrasts, not just power users.
- Record individual observations before grouping them into findings.
- Review the ledger and retire personas that no longer earn their place.
Common questions
What is the first step when building a buyer persona for creative software?
Begin with the buying situation. Map the people involved in one real choice, such as adopting an asset builder or replacing a design suite. These roles form a buying committee to investigate, not a claim about every organisation.
How should a team handle untested assumptions before fieldwork?
Write statements as questions and give every untested line an assumption tag and an owner. Add a date by which it must be tested or removed. This keeps hypotheses visibly provisional rather than presenting them as findings.
When should a persona be merged, split or deleted?
Merge two personas only when their decisions and constraints lead to the same design response. Split one when a material difference changes the outcome. Delete decorative biography fields that do no work, and review the ledger when the product or market changes.



