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Audience research

Proposal software audience research without the guesswork

How to run proposal software audience research in England: buyer groups, survey and interview methods, sample sizes and a scoring rubric for quoting teams.

What to take away

  • A sales manager at a Leeds software firm assumes the finance director signs off new quoting software. The research usually shows the finance lead only approves the budget, while a sales operations analyst does the comparing and a bid writer lives with the output every day.
  • Audience research for proposal software is not one survey. It is a mix of internal data, short buyer surveys, recorded interviews and win-loss notes, each answering a different question.
  • Sample quality beats sample size. Six well-chosen interviews across the buying committee tell you more than sixty responses from people who never touch a quote.
  • Score what you hear against a fixed rubric so a loud complaint from one account does not reset the roadmap.
  • Research feeds directly into positioning, demo scripts and the 2027 plan rather than sitting in a slide deck.

Why does audience research matter for proposal software buyers?

Proposal software sits in a crowded category. Most tools can produce a branded PDF from a CRM record. The differences that decide a purchase are about workflow, approval routing, pricing rules and how easily a salesperson can send a quote without chasing three people.

That means the buying audience is wider than the person who books the demo. In a typical England-based B2B deal, the sales director wants faster turnaround and the sales operations manager owns the CRM. The finance lead cares about discount control. Public sector bids may also involve a legal or compliance reviewer.

Each of those people judges the product against a different standard. Research that only speaks to the sales director produces a business case that collapses the moment finance asks about audit trails.

The other reason research matters is cost. A quoting platform rolled out to fifty seats is a recurring line in the budget. Buyers justify it with evidence, so vendors need evidence too. Understanding which proof points move each audience shortens the cycle.

For a structured view of how these audiences are segmented and prioritised, the material on proposal software target audience in England explains how to group buyers by role, sector and deal size before you start collecting data.

Who actually sits in the buying committee?

Think in three layers. The first is the economic buyer, usually a sales or commercial director with budget authority. They care about revenue per rep, win rates and how quickly a quote reaches a customer.

Buying committee roles and concerns

Economic buyer

Who
Sales director
Cares about
Revenue per rep
Can veto?
No

Operational buyer

Who
Sales ops lead
Cares about
CRM integration
Can veto?
No

Day-to-day user

Who
Account executive
Cares about
Speed, mobile access
Can veto?
No

Procurement & finance

Who
Finance lead
Cares about
Discount control
Can veto?
Yes

The second is the operational buyer. Sales operations, revenue operations or a bid team lead. They care about integration with the CRM, template governance and how much admin the rollout creates.

The third is the day-to-day user. Account executives, bid writers, sales engineers. They care about speed, mobile access and whether the quote builder gets in the way of a conversation.

A fourth group appears in larger organisations: procurement and finance. They rarely choose the tool but they can veto it. Discount approval limits, currency handling and audit history are their concerns.

Map these groups before writing a single survey question. If a question does not map to a decision any of them make, cut it.

Should you start with internal data or external research?

Start internally. Your own CRM, quote history and support tickets are free and immediate. Look at how long quotes take to leave the business, where deals stall before pricing, and which templates get edited most.

Internal data tells you what is happening. External research tells you why. A pattern of late-stage discounting might reflect slow approvals, unclear pricing rules, or simply a competitor undercutting you. Only buyers can explain which.

Public labour market data is a useful sanity check on how big the affected workforce is. The Office for National Statistics publishes regular UK employment and labour market data covering sales and related occupations, which helps size the internal audience for a quoting rollout.

Once you have internal numbers, move outward. Surveys scale, interviews add depth, and win-loss reviews catch the deals you lost before a demo ever happened.

How do you run a survey that people finish?

Keep it short. Ten questions maximum, mostly closed, with one or two open fields. Buyers abandon long forms, and partial responses are worse than none because they skew the sample.

Ask about behaviour before opinion. "How many quotes did you send last month?" is more reliable than "Do you find quoting easy?" Behaviour is checkable, opinion is not.

Use a five-point scale consistently and avoid double-barrelled questions. "Was the template accurate and easy to find?" cannot be answered cleanly if the template was accurate but buried.

Pilot with five people from the target group before sending. If they hesitate on a question, rewrite it. The guidance on proposal software survey tools in England covers tool selection, distribution and how to avoid the sampling traps that quietly ruin B2B research.

One practical note: offer a summary of findings to participants. Response rates rise, and it builds a list of people willing to be interviewed later.

What makes a customer interview worth the calendar slot?

Interviews are where you learn the language buyers use. A survey tells you approval takes four days. An interview tells you the finance director is on holiday every August and nobody has documented a deputy.

Recruit across roles, not just seniority. A bid writer and a sales director will describe the same process in completely different terms, and both descriptions matter for your messaging.

Use a discussion guide but allow detours. The most useful line in a thirty-minute call is often the aside about a workaround someone built in a spreadsheet.

Record with permission and transcribe. Memory reconstructs conversations in ways that flatter your existing assumptions.

The method for structuring these conversations, including recruitment, consent and analysis, is set out in the guide to proposal software customer interviews in England. Read it before your first call rather than after.

How many people do you need to talk to?

There is no universal number, but there is a practical one. For qualitative interviews, six to twelve people per distinct role usually surfaces the recurring themes. Once three consecutive interviews produce nothing new, you have enough.

Sample size guidance

  • 6-12interviews per distinct role
  • 3consecutive interviews with no new themes
  • 60total survey responses for two groups
  • 30responses per group for directional findings

For surveys, the useful threshold depends on how finely you slice the results. If you want to compare sales directors with bid writers, you need enough of each. A total of sixty responses split evenly gives thirty per group, which supports directional conclusions but not statistical significance.

Be honest about what your sample can support. Directional findings are fine for product decisions. They are not fine for public claims about market share.

Weight your sample if it does not reflect the customer base. If most of your revenue comes from mid-market manufacturers but most respondents came from tech, say so and adjust your reading.

Does customer obsession change what you ask?

It changes the framing. A customer-obsessed research programme asks what buyers are trying to achieve, not which features they want. The distinction matters because feature requests are solutions in disguise, and the underlying problem is what you can actually build for.

Forrester's explanation of customer obsession and customer-obsessed culture sets out how that orientation shapes sales and marketing decisions. Applied to proposal software, it means asking a bid manager about their deadline pressure rather than their preferred export format.

Practically, this shifts your interview guide toward outcomes: what does a good week look like, what causes a quote to be reworked, what happens when a deal slips. Features come out of the conversation naturally, but they arrive attached to a reason.

It also changes who you listen to. Obsessed teams weight the people who use the product daily above the people who merely approve the invoice.

How do you score what you hear?

Use a fixed rubric so every finding is judged the same way. Score each theme on frequency, pain intensity, revenue impact and effort to address. The table below is a working example for a mid-market quoting rollout in England.

Scoring rubric for research themes

Criterion

Frequency
One mention
Pain intensity
Mild annoyance
Revenue impact
Indirect
Effort to address
Major rebuild
Evidence quality
Opinion only

Score 1

Frequency
Several roles
Pain intensity
Workaround in place
Revenue impact
Affects deal speed
Effort to address
Moderate configuration
Evidence quality
Survey plus interview

Score 3

Frequency
Most interviews
Pain intensity
Blocks deals
Revenue impact
Affects win rate
Effort to address
Small change
Evidence quality
Documented behaviour

Score 5

Frequency
Pain intensity
Revenue impact
Effort to address
Evidence quality

Total the scores and rank. A theme scoring high on frequency and revenue impact but low on effort goes to the top of the backlog. A loud complaint from one large account scores low on frequency and should not reset the roadmap.

Revisit the rubric each quarter. Weightings drift as the business changes, and a rubric nobody reviews becomes a ritual.

What do industry benchmarks add?

The Salesforce State of Sales report tracks how sales teams adopt technology and where they see friction. It gives you a comparison point when your own findings feel unusual, and it helps frame an internal business case in language executives already recognise.

Use benchmarks as context, not as evidence for your specific decision. A published trend about AI adoption in sales does not prove your bid team needs automation. It only tells you the wider market is moving that way.

Pair benchmark data with your own numbers. "Our average quote turnaround is four days against a benchmark we can cite" is a stronger argument than either figure alone.

Who are you competing with for attention?

Buyers compare you with three things: named competitors, the CRM's native quoting module, and the spreadsheet-plus-email process they use today. The third is usually the hardest to displace.

Research should establish which alternative is actually in play. Ask what they evaluated, what they rejected and why. Ask what they would do if your product disappeared tomorrow.

The approach for mapping rival products, including how to read review sites without being misled by volume, is covered in proposal software competitor research in England.

If your research shows most buyers never shortlist a dedicated tool, your marketing problem is category awareness, not feature comparison. That is a different plan.

How do you reach buyers with what you learned?

Translate findings into three assets: a positioning statement per role, a demo script that answers the top three objections, and an internal one-pager for champions to circulate.

Targeting matters as much as message. LinkedIn's audience targeting for B2B sales and marketing lets you reach job functions such as sales operations or finance rather than a broad industry list, which is useful when your research shows those roles hold different concerns.

Keep the research visible. A short quarterly note summarising what changed and what you are doing about it stops the same debates recurring.

What about public sector and regulated buyers?

Public sector procurement in England adds formal stages that private deals skip. Buyers may have to evidence requirements against a published framework, and suppliers need documentation that stands up to scrutiny.

In the United States, federal acquisition follows the General Services Acquisition Manual, which sets out procedures for buying services and software. It is a useful reference point for understanding how formal acquisition rules shape buyer behaviour, even though UK public procurement follows its own regime.

If you sell into regulated or public buyers, add a research strand for their specific constraints. Ask how requirements are documented, who signs off, and what evidence they need at each stage.

How does research feed the 2027 plan?

Research becomes a plan when you convert themes into decisions with owners and dates. Assign each top-ranked theme to a product, marketing or enablement owner, and set a review point.

Research cadence

  1. Quarterly
    Short survey
  2. Twice a year
    Customer interviews
  3. Annually
    Full rubric review

Build the plan around the buying committee rather than a single persona. A roadmap that only serves the sales director will stall at finance review.

The wider planning process, including how to sequence positioning work alongside product changes, is set out in the proposal software strategy and planning guide for 2027. Use it once your research themes are ranked, not before.

Set a cadence: a short survey each quarter, interviews twice a year, and a full rubric review annually. Rhythms beat one-off projects because buyer expectations move.

Common questions

How many interviews are enough for proposal software research?

Six to twelve per distinct buyer role is usually sufficient. Stop when three consecutive interviews produce no new themes, and record that point so the decision is defensible later.

Should I survey buyers or interview them first?

Interview a small group first to learn the language, then build the survey using their words. A survey written before any conversation tends to ask about features rather than problems.

Can I rely on published benchmarks instead of my own research?

No. Benchmarks give context for a business case, but they cannot tell you which approval step delays your quotes or which role blocks your deals. Use both, and label which is which.

Who should own audience research internally?

Usually product marketing or sales operations, with input from the bid team. One named owner keeps the cadence going, and a shared rubric stops findings being renegotiated in every roadmap meeting.

In this guide

  1. Who is the proposal software target audience and how do you size it?A UK method for identifying proposal software buyers by role, sizing seat and account pools with official data, and testing segments through buyer interviews.
  2. Before you build proposal software buyer personas, read thisTeams build proposal software buyer personas from job titles, then wonder why messaging misses. A task-based rubric fixes the inputs before persona work starts.
  3. How to run proposal software customer interviews that produce useful answersA practical listicle for B2B sales teams in England on planning, running and recording proposal software customer interviews, with a before and after table.
  4. What proposal software competitor research means for sales teamsA practical checklist for B2B sales teams in England on running proposal software competitor research, covering data sources, compliance and a decision table.

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