Define evidence-backed positioning with AI

Fix the positioning decision before drafting

Name the audience, problem, alternative and proof question that the brief must resolve.

The fictional team is preparing a page for AI enablement leads who coordinate internal review work. Its packet contains six interview notes, two lost-deal notes, one category page and an approved feature sheet. The immediate decision is which problem and contrast can anchor the page. It is not a request for AI to invent a market category or choose a universal message.

Write a decision frame with four fields: intended audience, recurring problem, current alternative and evidence needed for a promise. Keep the audience narrow enough that the notes can be inspected. If the notes include operations managers and consultants as well as enablement leads, do not combine them merely to make the apparent sample larger.

Ask AI to extract candidate statements with note identifiers, then review the source text. The useful output at this stage is an evidence queue, not polished copy. A memorable phrase without a traceable source remains a hypothesis. Record the owner who can approve product facts and the date at which the feature sheet was current.

Build the evidence matrix

Separate audience evidence, category context, alternatives and product proof into inspectable rows.

Create one row for each candidate positioning element. In this fictional packet, four interview notes mention the burden of reviewing AI-assisted work, two emphasize speed and one lost-deal note names an existing manual approval process. Those counts describe the supplied notes only. They do not establish market prevalence or a priority across every buyer.

Give each row a source reference, exact observation, proposed interpretation, confidence limit and status. Mark the approved feature sheet as product evidence only for the capabilities it actually describes. The category page can show how another organization describes the space, but it cannot prove that customers use the same language or that the fictional product performs better.

Use AI to spot repeated terms and possible relationships, then inspect every proposed grouping. Do not let paraphrasing turn review burden into a verified productivity outcome. If a statement depends on two sources, show both. If no source supports it, place it in a research-needed column rather than quietly removing the qualification.

Compare the real alternatives

Positioning needs a specific alternative, not an unsupported claim that the product is uniquely best.

The packet supports three candidate alternatives: the team's existing manual review process, a general AI writing tool and a specialist workflow. Define the task each alternative helps the audience complete. Do not create a feature comparison when the packet contains no independently verified competitor capabilities or test results.

For the manual process, the evidence may support a description of fragmented review steps because the lost-deal note names them. For a general AI tool, the packet only establishes that respondents mentioned using one. It does not establish slower performance, weaker accuracy or missing functions. Preserve that boundary in the matrix.

Ask AI to draft contrast statements in a conditional form, such as for teams whose main problem is maintaining an inspectable review trail. Reject absolute claims like the only platform or the fastest way. The matrix should show why each contrast is supportable, not merely why it sounds persuasive.

Preserve contradictory evidence

A positioning brief should reveal disagreement that could change the message or segment.

Two of the six fictional interview notes prioritize drafting speed, while four focus on review burden. Do not average those concerns into a broad efficiency promise. Create a contradiction row that asks whether the difference reflects audience segment, workflow maturity, interview wording or simple variation within a small set of notes.

Use AI to propose explanations only as hypotheses. The packet does not provide enough evidence to decide among them. The next research step could be to compare the workflows and responsibilities represented by the two groups, but it should not be described as proof that one segment is more valuable.

The revised matrix keeps review burden as the leading supported problem for the intended page and records drafting speed as unresolved. If the intended audience changes, reopen the matrix. This prevents a qualification from disappearing after the team selects a convenient narrative.

Draft a qualified positioning brief

The brief connects the selected audience problem, alternative and proof while keeping hypotheses visible.

Deliver a one-page brief with the intended audience, situation, problem, current alternative, supported capability, proposed value, proof references, excluded claims and research questions. A defensible fictional statement is that the product helps the specified team structure an inspectable review workflow, if that capability appears in the approved feature sheet. It is not evidence of faster work or better outcomes.

Add a claim status beside every sentence that could become public copy: approved fact, sourced audience observation, interpretation or hypothesis. Before release, the responsible owner should review product claims and confirm that availability has not changed. AI can organize and challenge the brief, but it does not become the approval authority.

Test the brief against one changed fact: suppose the approved feature sheet withdraws a planned export function. Remove any implication that the function is available and inspect every derived headline. The final artifact is valuable because a reviewer can trace and revise it, not because it produces a final slogan automatically.

Review the method against adjacent work

Positioning evidence is a distinct artifact from a content map or a product claim sheet.

The live content-strategist parent decides whether overlapping content requests should merge, redirect or become separate assets. This exercise instead decides which audience problem, alternative and evidence can support a positioning brief. The product-marketing-manager guide qualifies product availability claims; this exercise incorporates that controlled proof into a wider audience and category argument.

Review the participant on source traceability, treatment of contradiction, distinction between observation and inference, and preservation of approval boundaries. Do not score a catchy line as evidence of sound positioning. A strong result may conclude that the packet supports only a narrow statement and that additional research is required.

Sources and scope

Skills England: responsible workplace AI use. Government Communication Service: audience insight and evidence-led campaign planning.

Skills England includes checking AI outputs, spotting errors and making informed decisions in its foundation skills for work benchmark. The Government Communication Service OASIS framework organizes communication planning around objectives, audience insight, strategy, implementation and evaluation. These references support the general review and planning background only. They do not validate this exercise or its fictional positioning decision.

All organizations, interviews, counts, features and alternatives in the exercise are original synthetic examples. They are not customer evidence, market research findings or Two Prune product promises. Before adapting the method, confirm current source material, data permissions, product approvals and decision ownership.

Sources: [2] [1]