What Should Healthcare Providers Put on the Roadmap First? A Jobs to Be Done Approach
Direct answer: Healthcare providers should prioritize roadmap items by the "job" patients, clinicians, and payers are actually trying to get done — not by feature requests, department politics, or vendor pitches. Rank each initiative by how many high-frequency, high-friction jobs it resolves, weighted by clinical risk and reimbursement impact. The first thing on your roadmap should be the job that, if solved poorly today, drives the most avoidable cost, care gaps, or churn — not the shiniest technology.
This article applies the Jobs to Be Done (JTBD) framework to healthcare roadmap sequencing, with a concrete walkthrough. A disclosure up front: I work on content for Percision, a strategic intelligence platform. I'll explain where a tool like ours helps and where a whiteboard, a clinician interview, or a spreadsheet is the honest answer instead.
Why "roadmap first" is the wrong question until you name the job
Healthcare provider roadmaps get crowded fast: a new patient portal, RPM (remote patient monitoring), an EHR module, an AI scribe, a prior-authorization tool, a scheduling upgrade. Everyone has a defensible reason for their item to go first.
Jobs to Be Done reframes the debate. Clayton Christensen's core idea is that people don't buy products — they "hire" them to make progress in a specific circumstance. In healthcare, the "buyers" are layered: the patient hiring your practice to get well without disrupting my life, the clinician hiring your systems to practice at the top of my license without drowning in documentation, and the payer hiring your organization to keep this population healthy at a predictable cost.
A roadmap item earns priority when it advances a real job that's currently done badly. That's the filter. Not "is this innovative?" but "does this help someone make progress they can't make today?"
The JTBD walkthrough for a provider roadmap
Here's a sequence you can run in a working session with clinical, operations, and finance leaders in the room.
Step 1 — List the jobs, not the features. Write each in the JTBD format: When [situation], I want to [motivation], so I can [expected outcome]. Examples:
- When I'm discharged after a procedure, I want to know exactly what to do at home, so I can avoid a readmission and a scary phone-tag loop.
- When I see a new patient, I want their history summarized reliably, so I can decide safely in the visit time I have.
- When a claim needs prior auth, I want it approved without three staff touches, so I can treat the patient this week, not next month.
Step 2 — Score each job on frequency and struggle. How often does this situation occur? How painful is the current workaround? A job that happens 400 times a month with a clumsy manual fix outranks a rare, elegant edge case.
Step 3 — Add the healthcare-specific weights. Two multipliers that generic JTBD skips:
- Clinical risk: Does poor execution create a safety or quality-measure problem (readmissions, missed screenings, medication errors)?
- Reimbursement leverage: Does the job sit on a revenue cycle, value-based-care metric, or denial-rate line that finance can quantify?
Step 4 — Map your candidate roadmap items to jobs. Now overlay the portal, the RPM program, the AI scribe. A feature that touches a top-ranked job with high risk and revenue leverage goes first. A feature that touches only a low-frequency, low-struggle job gets parked — no matter who's championing it.
Step 5 — Define what "good" looks like before you build. For each prioritized job, write the outcome metric in advance: readmissions down for the discharge job, documentation minutes-per-encounter down for the scribe job, denial rate down for the prior-auth job. If you can't name the metric, you haven't defined the job well enough to fund it.
What "good" looks like overall: a roadmap where every top item has a named job, a struggling current-state, a clinical-risk and reimbursement rationale, and a pre-agreed success metric. The order should be defensible to a skeptical board member and a skeptical charge nurse alike.
Where Percision helps — and where it doesn't
The JTBD thinking is human work. Interviewing clinicians about their real workarounds, watching a discharge handoff fail, sitting with billing staff — no software replaces that. Do it first.
Where a strategic intelligence platform earns its place is turning that qualitative map into a prioritized, board-ready plan with the financial case attached. Percision runs your business context through structured reasoning steps across multiple frameworks (JTBD among 27+), then produces roadmap scenarios, the financial modeling behind each (DCF-style projections, ratio benchmarking, warning-sign flags), and a presentation deck your leadership team can take into a governance meeting — in minutes rather than an 8–12 week engagement. It's explicitly a co-pilot: it structures the analysis and drafts recommendations; your clinical and finance leaders decide.
This matters when you're weighing several initiatives with real capital and staffing at stake and need the ROI logic and scenario comparison documented for the board. Research from firms like BCG and studies out of Harvard Business School have found that AI tools can meaningfully improve knowledge-worker speed and quality on well-structured analytical tasks — which is exactly the roadmap-scoring-and-modeling layer, not the clinical judgment layer.
When you don't need us: if you have one obvious job screaming for attention and a two-week fix, just do it. If your finance team can model the choice in a familiar spreadsheet in an afternoon, use the spreadsheet. If the real gap is understanding why clinicians reject the current tool, hire an ethnographer or a boutique consultant and go watch the workflow. Percision structures decisions; it doesn't do primary research or lay hands on patients.
You can see how the platform structures a roadmap analysis at percision.app.
What this looks like when the analysis is actually run
A jobs-to-be-done read here has two customers: the patient, and the physician-owner who has to be able to see what their work is producing.
The subject is Cedar Ridge Health Partners, a sample company profile we use for testing rather than a customer: a physician-owned multi-specialty group, $196M net patient revenue, 128 physicians, 14 clinics.
Excerpt from a real Percision run · Customer Value Architecture (T14) · sample company profile
The physician's job, and the friction in it. The platform replaces the current 90-day manual chart abstraction process with a calculation of total cost of care per attributed member at a 30-day lag. Physician licensing adoption: 70% of 128 physicians by Month 24.
The referring physician's job. A referral-optimization platform surfacing real-time ASC capacity and payer-approved procedure lists to the existing 128 physicians — at least 80% adoption of eligible referrals by Month 24.
The employer's job. Bundled primary-plus-specialty-plus-surgical care at transparent, fixed prices 8–12% below current commercial payer rates, at $2,400 per covered life and a 9–11% operating margin.
The sequence, and what each step costs. Referral platform $1.2–1.8M inside a $3.0–4.0M ASC programme, payback 14–18 months, lifting group operating margin from 4.2% to 5.8–6.4%. Cost-measurement platform $2.1–3.5M over 36 months, $1.8M of internal cost avoidance in Year 1, reaching $13.5M of licensing ARR in Year 3. Employer pilot $2M over 36 months — $800K, $700K, $500K — $0 in Year 1, first employer LOI targeted Month 9, first contract live Month 15, $12–18M by Year 3.
| Horizon | Projection |
|---|---|
| Year 1 | $0 licensing revenue; $1.8 M internal cost avoidance |
| Year 2 | $4.2 M licensing ARR (40 physicians × $120K + 5 external practices × $400K) |
| Year 3 | $13.5 M licensing ARR (90 physicians × $120K + 18 external practices × $400K) plus $4–8 M shared-savings upside |
Three jobs and the two internal ones come first, because both remove work from a physician's week rather than adding to it. A 90-day manual abstraction replaced by a 30-day automated one, and a referral decision that no longer requires phoning to find out whether the ASC has capacity.
The employer job is third and it is the largest prize. It is sequenced last because quoting a fixed bundled price is only safe once the cost-per-member calculation works — the jobs are ordered by dependency, not by size of opportunity.
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FAQ
Q: How is JTBD different from just asking patients what they want? Patients ask for features ("a better app"). JTBD digs to the underlying progress they're trying to make ("stop calling three numbers to get one answer"). You solve the job, which often looks nothing like the feature they requested.
Q: How many jobs should a roadmap tackle at once? Sequence, don't spread. Ship against the top one or two jobs, prove the outcome metric moved, then advance. Parallel initiatives across many jobs dilute focus and blur what actually worked.
Q: Can this framework handle competing clinical vs. financial priorities? Yes — that's why the clinical-risk and reimbursement weights are explicit. A job with high safety risk can outrank a higher-revenue job. The framework forces the trade-off into the open instead of leaving it to whoever argues loudest.