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What Should We Put on the Roadmap First in B2B SaaS?

Direct answer: Prioritize the roadmap item that helps your best customers make the most progress on the job they hired your product to do — not the feature with the loudest request volume or the flashiest demo. In B2B SaaS, "first" should mean the work that removes the biggest obstacle between a customer and their desired outcome, weighted by how many high-value accounts share that job. Jobs to Be Done (JTBD) gives you a repeatable way to find that item instead of relitigating it every quarter.

Why feature-request tallies fail B2B SaaS roadmaps

Most SaaS roadmap fights come from mixing three different signals as if they were one: what customers ask for, what sales needs to close deals, and what customers actually struggle to accomplish. A request for "bulk export" might be a workaround for a reporting job the product does badly. A sales ask for an integration might unlock a whole segment — or serve one champion who's leaving next quarter.

Counting requests optimizes for the vocal, not the valuable. It also biases toward incremental additions to what you already built, because customers can only ask for variations of what they already know. Jobs to Be Done reframes the question: what is the customer ultimately trying to get done, and where does progress currently stall? That's the roadmap's north star.

Applying Jobs to Be Done to your roadmap

JTBD treats your product as something customers "hire" to make progress in a specific situation. The unit of analysis is the job — a stable goal — not the feature or the persona. Here's a concrete walkthrough for a B2B SaaS team.

1. Write the job statement. Format: [verb] + [object] + [context]. Example for an analytics tool: "Understand why revenue changed this month so I can explain it to my exec team before the Monday review." Notice the context and the emotional/social stakes — those matter as much as the functional task.

2. Map the job steps. Break the job into the sequence the customer moves through: define → locate → prepare → confirm → execute → monitor → modify → conclude. For each step, ask two questions:

3. Score outcomes by importance and satisfaction. For each desired outcome (e.g., "minimize the time to trace a revenue change to its cause"), ask customers how important it is and how satisfied they are today. The roadmap gold is high-importance, low-satisfaction outcomes — underserved jobs where you can create obvious value.

4. Segment by job, not by title. Two customers with the same job title may have different jobs; two with different titles may share one. Cluster accounts by the underserved outcomes they share, then size each cluster by revenue and expansion potential.

5. Rank candidate roadmap items. Score each candidate against: how underserved the outcome is, how many high-value accounts share it, how much of the job you'd complete (partial fixes rarely change behavior), and switching/adoption cost. The winner is your "first."

What "good" looks like: you can point to a specific job step, name the customers stuck there, state the outcome you'll improve, and predict the behavior change. If you can't, you're prioritizing by opinion.

Turning the JTBD analysis into an execution plan

The analysis is only half the job. To defend the roadmap to a board or a founder, you need to connect the chosen item to revenue: reduced churn on accounts that share the underserved job, expansion into that cluster, or faster sales cycles when the job becomes a differentiator. That means pairing JTBD output with a financial view — retention math, ACV by segment, and the cost of building versus not building.

This is where a platform can compress the work. Percision — the Strategic Intelligence Platform, and yes, we make it — runs your business context through structured reasoning steps across 27+ frameworks, including Jobs to Be Done, to produce board-ready recommendations and scenario analysis in minutes rather than weeks. In practice that means you feed in your segment data, retention numbers, and candidate roadmap items, and it helps you pressure-test the ranking, model the financial impact of each option, and generate a deck you can bring to the strategy review. It's explicitly a co-pilot, not an autopilot — your product and leadership team make the call and own the judgment.

When you don't need it. If you have one clear job, a handful of interviewed customers, and a strong product leader, a whiteboard and a spreadsheet are genuinely enough — don't over-tool a decision you can make in an afternoon. If your challenge is the qualitative discovery itself (getting honest interviews, spotting the emotional job behind the functional one), an experienced product researcher or JTBD-trained consultant will outperform any software; the interview craft is the bottleneck, not the synthesis. Percision helps most when you have multiple viable roadmap paths, real financial stakes, and a short deadline to align stakeholders.

For context on why AI-assisted analysis is worth considering at all: a widely cited 2023 Harvard Business School / BCG field study found consultants using GPT-4 completed tasks faster and at higher quality within the model's competence range — but performed worse on tasks outside it. The lesson for roadmap work: use AI to accelerate structured synthesis, keep humans on the judgment calls it's bad at.

What this looks like when the analysis is actually run

Roadmap sequencing arguments are usually won by whoever is loudest. This run scored six dimensions, attached a value to each gap, and let the ranking do the arguing.

The subject is TechNova Solutions, a sample company profile we use for testing rather than a customer: a $45M ARR DevOps platform, 280 employees, Series B.

Excerpt from a real Percision run · Digital Transformation (T8) · sample company profile

Six dimensions, scored and valued.

DimensionCurrentGapValue of closing itIntervention
Data & Analytics1/54$25–35MPipeline platform Q4 2026
Talent & Culture1/54$15–20M50 hires Q3 2026
Strategy2/53$10–15MQ2 2026 offsite, kill APAC
Operations2/53$10–15MRPA sales Q3 2026
Technology2/53$10–15MAI DevOps, 4 per quarter
Customer Experience3/52$5–10MAI dashboard Q3 2026

The first three things on the list. AI dashboard MVP plus NPS, Q2–Q3 2026, $2M, 2.5x ROI, $5M ARR, owner CTO. RPA sales plus agile, Q3 2026, $1.5M, 2.7x ROI, $3–4M savings, owner COO. Upskill 20 people on AI, Q3 2026, $0.5M, greater than 2x, +10% velocity, owner CHRO.

The total. Six-dimension gaps are worth $75–110M, with Data/Analytics at 30% and Operations and Talent at 20% each, phased toward $150M ARR.

What the sequence is really deciding. The first three items cost $4M combined and are owned by three different executives — CTO, COO and CHRO — so nothing on the list waits on a single team. Each carries its own return: 2.5x, 2.7x, and greater than 2x respectively.

The capital that has to move for the roadmap to be real. AI DevOps from 0% of allocation to 55–60% ($13–15M), against a $40–55M ARR impact. Enterprise expansion 0% to 20–25% ($5–7M), $15–20M impact. Core CI/CD and monitoring from 100% down to 15–20% ($4–5M), defending $40–50M. Developer tools from ~20% to 0–5% ($0–1M). APAC and verticals: 0%, avoiding $9–14M of spend.

The ranking and the sequence disagree, which is the useful part. Data & Analytics carries the largest gap and the largest prize at $25–35M, and it is scheduled fourth — Q4 2026. The three items that go first are cheap, fast and owned by three different executives, and together they cost $4M against a $25M+ prize that has not started yet.

That is a deliberate sequencing choice rather than a contradiction. The biggest item is also the slowest and the one most likely to lose organisational patience, so it is funded after three visible returns have banked credibility. Roadmaps that lead with the largest number tend to be cancelled in month seven.

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FAQ

How is JTBD different from prioritizing by revenue impact? Revenue impact tells you which accounts matter; JTBD tells you what work will actually move them. You combine both — size the underserved job by the revenue of accounts that share it. Revenue alone can send you building for whoever shouts loudest.

How many customer interviews do I need before I trust the job map? There's no magic number, but you're looking for saturation — the point where new interviews stop revealing new underserved outcomes or job steps. For a focused segment that's often a modest number; stop when patterns repeat, not when you hit a quota.

Can Percision run the JTBD analysis without customer interviews? No — and no tool should claim to. Percision structures, ranks, and financially models the inputs you provide, but the raw job insight comes from talking to real customers. Garbage in, board-ready garbage out. Do the discovery first.

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