Audience profiles

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---
title: "Audience Profiles"
status: active
last_updated: '2026-06-12'
purpose: Canonical audience profile for EmpathyIQ and the wider `<un>known` group. Incorporates the Irish Insight Leader and UK Insight Leader persona documents, plus the earlier external-research profile note.
tags: [audience, personas, strategy, market-analysis, positioning]
---

# Audience Profiles

This is the canonical audience profile document for the repo.

It brings together:

- the earlier audience profile note based on external market research
- the Irish insight leader persona ("Aoife")
- the UK insight leader persona ("Charlotte")
- the strategic implications that matter for positioning, GTM, and product framing

## How to read this document

There are two audience layers that matter:

1. **Primary buying audience:** client-side enterprise insight leaders
2. **Secondary strategic audience:** agency-side researchers

The primary audience is not one uniform buyer. It has two important market variants:

- **Aoife:** the Irish insight leader
- **Charlotte:** the UK insight leader

These two variants want many of the same outcomes, but they buy differently, operate in different environments, and respond to different language.

The agency audience still matters, even though it is not the locked ICP for EIQ. It matters because:

- Empathy Research is a direct internal user and beneficiary
- agency dynamics shape the hybrid service-plus-platform model
- the Phase One work repeatedly points to proprietary technology as a differentiator for agencies

## Audience 1: Client-side Enterprise Insight Leaders

### Who they are

Senior in-house insight and research leaders working inside mid-to-large organizations. They typically sit in marketing, strategy, CX, product, or commercial teams and are responsible for helping the business understand customers well enough to make better decisions.

Typical titles include:

- Head of Insight
- Consumer Insight Manager
- Insight Director
- Customer Insight Lead
- Global Insights Director
- VP Consumer Intelligence

They are not buying research for clients. They are using research to influence decisions inside their own organization.

### What unites them

Across both Ireland and the UK, the common pattern is clear:

- they are under pressure to move faster than good research often allows
- they are increasingly being bypassed by DIY tools and non-research stakeholders
- research often gets delivered and then disappears
- they need to prove the value of the insight spend when budgets are challenged (sharpest in the UK)
- they are being asked what AI means for their function, even when they do not yet have a clear answer

The shared job is not just to run research. It is to keep the insight function trusted, relevant, and commercially useful.

### Shared pressures

#### 1. Speed vs rigor

These teams are expected to move faster than traditional research timelines usually allow.

The tension is not abstract. Product, marketing, commercial, and leadership teams often want answers in days, not weeks. The insight team knows that rigor matters, and also knows that the cost of being wrong is not the same in every situation.

That nuance is important:

- for lower-stakes decisions, directional answers may be enough
- for higher-stakes decisions, rigorous work is worth the extra time

Insight leaders are often carrying that judgment on behalf of the business.

#### 2. Being bypassed

This is one of the deepest emotional and political pressures in the role.

Other teams now use SurveyMonkey, social listening, ChatGPT, Copilot, dashboards, or lightweight agency workarounds to answer customer questions themselves. Some of that work is weak. Some of it is merely "good enough." Either way, it reduces the insight team's control over how customer understanding is produced and used.

The real threat is not just bad research. It is that the insight function starts to look optional.

#### 3. Research that disappears

Past work too often lives in decks, shared drives, folders, inboxes, or people's heads. When a senior researcher leaves, context walks out the door. When a new project starts, the team often behaves as if nothing useful already exists.

This is not a discipline problem. It is an infrastructure problem.

#### 4. Credibility and trust

Decision-making inside organizations is social. Credibility matters.

The credibility pressure Phase One actually records is **budget-level and UK-weighted**: Charlotte defends her spend in quarterly reviews against cheaper alternatives — *"I need to prove that every pound spent on insight is driving a commercial outcome. My board doesn't care how the research was done — they care what changed because of it."*

The sharper claim — that stakeholders challenge individual findings and the team must produce supporting evidence on the spot — is an **EmpathyIQ thesis**, not a Phase One finding. It is plausible and consistent with industry data-quality trends (data-quality concern up 40% YoY per the debrief appendix), but no interviewee described that scenario.

> **Provenance note (2026-06-12):** an earlier version of this section presented finding-level challenge as a recorded shared pressure. A raw-source audit (debrief PDF + both persona docs) found no defend-language in the debrief and no study-level challenge fear in either market; the defence pressure in the interviews is about budgets and the function's value. Treat finding-level defensibility as our point of view to be tested, not validated demand. Full audit: [phase-one-validated-pains-and-positioning-evidence.md](./phase-one-validated-pains-and-positioning-evidence.md).

#### 5. AI pressure

Most teams are already experimenting with AI. The difference is that now non-researchers are doing the same.

That creates two problems at once:

- the insight team is expected to use AI well
- the insight team is judged against what other people think AI can already do

The result is a growing need for a clearer AI operating model, not just isolated AI tools.

## Market variant A: Aoife, the Irish insight leader

### At a glance

Aoife is the Irish version of the senior insight buyer.

Typical traits:

- Dublin-centered
- usually mid-career
- often from FMCG, food, finance, energy, media, or semi-state settings
- typically managing a small team, often 2-5 direct reports
- usually reports into marketing, strategy, or commercial leadership
- budget tends to be meaningful but not heavily procurement-driven

### How Aoife operates

Aoife works in a smaller, more relationship-driven market.

She often knows agencies personally, or knows someone who does. Reputation, trust, and chemistry matter a lot. Formal procurement tends to matter less than in the UK.

Her role is often stretched and under-resourced. She is expected to be responsive, useful, and strategic, but without the infrastructure or bandwidth of a much larger insight function.

### What matters most to Aoife

The Irish persona points to five especially strong needs:

- making insight travel beyond the debrief
- moving faster without losing depth
- developing stronger foresight capability
- contributing to innovation and horizon scanning
- improving strategic storytelling inside the business

Aoife does not just want a supplier. She wants:

- an insight activation partner
- a strategic challenger
- a practical AI guide
- a foresight capability
- a consistent senior relationship

### How Aoife buys

Aoife is:

- relationship-first
- word-of-mouth influenced
- less procurement-led
- responsive to trust and consistency
- more interested in a strong partner than in a glossy marketing story

She is not usually looking for the biggest agency or the cheapest one. She is looking for the one that makes her more effective and makes her look good internally.

### What good looks like to Aoife

For Aoife, the best partner delivers:

- insight that travels
- post-debrief support
- commercial language, but not in an overly hard-edged way
- faster directional reads when needed
- a named senior person who knows her business

### Aoife's underlying fear

That insight keeps getting produced but not used, and that her function stays valuable in theory but peripheral in practice.

## Market variant B: Charlotte, the UK insight leader

### At a glance

Charlotte is the UK version of the senior insight buyer.

Typical traits:

- London / South East centered, with wider UK reach
- mid-to-senior career
- often from FMCG, retail, financial services, media, or telecoms
- usually manages a larger team, often 5-15 direct and indirect reports
- more likely to operate within formal procurement structures
- budget can be substantial, but is tightly scrutinized

### How Charlotte operates

Charlotte works in a larger, noisier, more competitive market.

She deals with:

- more agencies
- more formal tendering
- more procurement scrutiny
- more pressure to justify spend in commercial terms
- more internal complexity and adjacent functions competing for authority

She is often not just trying to get research used. She is trying to prove the insight function is worth its budget at all.

### What matters most to Charlotte

The UK persona points to a harder commercial edge.

Her highest priorities include:

- speed, scale, and agility
- AI integration
- metadata and agentic workflow potential
- foresight linked to commercial decisions
- stronger strategic storytelling
- advisors who can make a real impact

Charlotte wants:

- a commercially credible specialist
- an insight activation partner
- an AI operating model partner
- foresight with commercial grounding
- proof before partnership
- senior consistency from pitch through delivery

### How Charlotte buys

Charlotte is:

- procurement-driven
- evidence-first
- more niche-seeking than breadth-seeking
- intolerant of the pitch-to-delivery gap
- cost-conscious, though not simply price-led

A warm introduction may get an agency into the room. It does not win the work. The work is won on proof, differentiation, commercial fit, and a story she can defend internally.

### What good looks like to Charlotte

For Charlotte, the best partner delivers:

- commercial impact framing
- faster answers without obvious loss of depth
- insight in formats that activate different stakeholders
- post-debrief support
- a senior person who accumulates real context
- visible AI competence

### Charlotte's underlying fear

That insight gets trapped between low-cost tech platforms on one side and hard-to-defend agency spend on the other, and that her function starts to look like a cost centre rather than a driver of better decisions.

## Aoife vs Charlotte: the key differences

| Dimension | Aoife (Ireland) | Charlotte (UK) |
|---|---|---|
| **Market shape** | Smaller, more relationship-led | Larger, more fragmented, more competitive |
| **Buying style** | Trust and chemistry first | Proof and procurement first |
| **Budget pressure** | Real, but less formalized | Intense and continuously scrutinized |
| **AI maturity** | Earlier and more cautious | Further along and more anxious |
| **Top pressure** | Making insight travel | Speed and commercial justification |
| **Agency selection** | Reputation and responsiveness matter most | Clear specialization and evidence matter most |
| **Language that works** | Understanding, action, meaning | ROI, impact, evidence, P&L |
| **What wins** | Insight activation plus trusted partnership | Insight activation plus commercial proof |

## What client-side insight leaders want from a platform or partner

Across both Aoife and Charlotte, the shared needs are:

- faster answers without obvious shortcuts
- stronger proof of the function's value when the spend is challenged
- a memory system that keeps past research useful
- help making insight travel across the organization
- AI that supports the team's authority rather than undermining it
- a clearer answer to why the insight function should remain central

## The fear