Scoping playbook · Workbook 02

Scope the work.
Prove the value.

Voice Intelligence Project Scoping Workbook
A practical guide from the pre-scoping (Workbook 01) to a bounded, measurable pilot. Answers from the pre-scoping are taken over and marked for review. Define the work, the people, the knowledge and the controls before committing to a solution.

Offline-ready Continues Workbook 01 No external assets or network calls Client-side calculations Print / save as PDF
Blank scope — not saved

Local workflow: open this HTML in an approved browser → fill it → save a separate JSON per client → reopen that JSON to continue. The HTML does not overwrite itself. Export before closing; browser “Save page” is not a reliable form-data backup.

Print options, browser draft and data handling

One optional draft slot is available in this browser. It can be lost when browser data is cleared or access is restricted, and it is not an encrypted client repository. Downloaded JSON is also unencrypted: keep it in an approved client folder. Do not enter credentials, medical records or unnecessary personal data. Browser drafts are unsuitable for shared devices.

01 / DISCOVER

Start with a real task

Suggested first workshop: 60–90 minutes with a process owner, actual users and a data/IT representative. Complete the project frame and chapters 1–5; identify value hypotheses and known source systems.

02 / VALIDATE

Replace assumptions with evidence

Follow up with sample tasks, a workplace/device test, approved source samples and baseline measurements. Complete chapters 6–10 with owners. Record “Unknown + owner + due date” rather than guessing.

03 / DECIDE

Agree a pilot boundary

Review the decision brief, acceptance tests, unresolved risks and readiness checks. Approve a pilot, request targeted discovery or hold. A positive ROI estimate does not override a safety or access blocker.

Workbook 01 Pre-scoping result
PS

Pre-scoping

What the first conversation surfaced – and which TalkTo approach this scope follows.

No pre-scoping loaded yet. Start with the Voice Intelligence Pre-Scoping (Workbook 01) and choose “Continue in Workbook 02” there – or open its JSON here with “Open client data”. You can also scope without it.

Start here Frame the decision
0

Project frame

Make the scoping conversation traceable before defining the solution.

Before you start

Use one workbook per client and bounded use case. The scope describes the operating problem and testable solution boundary; it is not a statement of work, vendor commitment or compliance approval.

Distinguish measured facts, informed estimates and open assumptions. Give estimates an owner and a validation date. Dots beside labels mark core discovery fields, not a submission requirement.

Output to agree: A named sponsor, a specific decision and a traceable scope version.

Part A / 01–05 Define the work and operating context
1

Use case description

Describe a specific job-to-be-done—not a generic “voice assistant”. Start with a real moment of need.

Define a bounded job, not a general assistant

Write the use case as: When [trigger], [role] needs to [task], using [context], so that [observable outcome]. State why speaking is useful: hands-busy work, faster capture, difficult navigation or dialogue that resolves ambiguity. A screen or conventional workflow may still be better for dense tables or confidential information.

  • Walk through one normal case, one ambiguous case and one out-of-scope request.
  • Identify the exact asset, site, customer, version or time period needed before an answer is valid.
  • Separate answering, recommending, creating a draft and executing an action. Each needs its own permission and success signal.

Illustrative example: after an inspection, a technician dictates findings for an identified asset, checks the read-back and submits a draft maintenance record for a supervisor to review.

Output to agree: One task flow, its entry/exit conditions, permitted actions and exclusions.

What must the solution be allowed to do?
Scope test: the first pilot should be narrow enough to show a measurable change, yet complete enough to include the real user context, evidence, exception path and ownership.
2

Work area

Define where voice is actually used—because acoustics, safety, connectivity and workflow change the solution.

Observe the point of use

A quiet office demonstration does not validate use at a work face or on a production floor. Test the complete combination of location, shift, user, device, microphone, protective equipment and network. Record both normal and worst credible conditions.

For mines or industrial sites, obtain local safety approval of devices and interaction practices, including hazardous-area restrictions and the need to hear alarms. This workbook does not authorise device use, replace training or change an emergency procedure.

Output to agree: An approved operating envelope and a site survey/test plan.

SettingScoping focusEvidence to request
Office / control roomOverheard speech, confidentiality, interruptions, shared screens and headset use.A representative task observation and approved desktop/browser test.
Surface mine / plantEquipment noise, wind, vibration, gloves, protective equipment and handover between networks.On-site speech and connectivity tests in the intended safe-use zones.
Underground / remote areaCoverage gaps, local device restrictions, charging, shift length and loss of service.Coverage map, approved device list and demonstrated fallback on a disconnected route.
Operational setting
3

Expected challenges

Surface the conditions that can affect recognition, trust, safe use, adoption and solution architecture.

Convert concerns into testable failure cases

“Noise” is a condition; “the system hears asset 18 instead of 80 and logs the finding on the wrong asset” is a failure scenario. For each material scenario, state the consequence, a detection method, fallback, owner and acceptance test.

  • Test accents, numbers, abbreviations, units, negation, competing voices and incomplete requests.
  • Test missing, stale and conflicting knowledge; wrong-user permissions; instructions hidden in retrieved material; interrupted connections and duplicated actions.
  • Use operational risk labels for prioritisation only. Legal classification and any mandatory controls require a separate qualified assessment.

Output to agree: An owned risk register with observable stop/escalation conditions.

Likely challenge areas

Risk and validation register

Example only: wrong asset → incorrect record → read back asset ID → maintenance lead → test confusable IDs before live writes.

Failure scenario / likelihoodConsequence / severityDetection and fallbackOwner / due dateTest / pass conditionAction
4

User group

Separate the person speaking with the system from the people who own knowledge, monitor quality and act on the outcome.

Separate use, supervision and accountability

The person speaking, the person benefiting and the person approving the outcome may be different. Include employees, contractors and temporary workers; distinguish pilot headcount from eventual rollout. Assess language, literacy, hearing/speech accessibility, experience and willingness to use voice.

  • Process owner: accountable for outcome, adoption and operating procedures.
  • Knowledge owner / expert: reviews source changes, disputed answers and newly captured knowledge.
  • Operations / quality monitor: reviews sampled interactions and escalations; reports aggregate trends.
  • IT/security and support: own access, incidents, uptime and recovery.

Agree who can see audio, transcripts and user-level analytics, and for what purpose. Explain monitoring to participants and involve appropriate workforce representatives before the pilot.

Output to agree: A named operating team, permission boundaries and a practical escalation roster.

User and governance roles

Assign one accountable owner per outcome. The same person may hold more than one role in a small pilot.

Role / groupWhat they doHeadcountAccess / authorisationSuccess evidenceAction
5

Voice transfer technology

Choose the interaction path around the reality of the user—not around a preferred technology.

Separate the device, the transport and the service

A mobile phone is a device, not an architecture. Decide whether audio travels through a telephone call, browser/app session or a specialist gateway, and where speech recognition, reasoning, speech synthesis and recordings would run.

Validate the channel end to end under the client’s identity, firewall and device policies. A headset does not prove hazardous-area approval; a local interface does not prove local AI processing. The offline capability of this workbook is unrelated to the offline capability of a future voice service.

Output to agree: One primary channel, a tested fallback and measurable service requirements.

OptionPotential fitQuestions to validate
Mobile web / desktopVoice plus visible sources, confirmations and forms.Approved browser, microphone permissions, session identity, latency and corporate network path?
TelephoneAccess from a handset without a dedicated interface.Reliable caller authentication, call routing, read-back for identifiers and a way to deliver evidence?
Rugged device / wearableHands-busy work and specialist site requirements.Local device approval, PPE compatibility, push-to-talk/activation, battery life and shared-user handling?
Radio / gatewayAn established operational communication channel.Channel contention, identity, half-duplex turn-taking, emergency priority and approved integration?
Candidate access channels
Architecture principle: voice transport, identity, knowledge, workflow execution and monitoring should be independently replaceable. That makes a pilot safer to evolve than a single tightly coupled “voice bot”.
Part B / 06–08 Establish value and measurement
6

Expected benefits

Capture both financial and operational value. State the baseline, the expected change and who can verify it.

Build a causal value story

Link a changed behaviour to an operational outcome: faster access to a verified procedure → less search and expert waiting → more tasks completed within the same shift. Do not assume that every faster interaction is a saving; include confirmation time, corrections and follow-up.

  • Capacity: hours freed for productive work. This has economic value but is not automatically a budget reduction.
  • Cashable saving: a specific overtime, contractor or other expense that the budget owner expects to remove.
  • Knowledge transfer: measure independent task performance, time to proficiency and approved expert knowledge reused, not just the number of captured transcripts.
  • Quality / safety: use verified process measures and controlled evaluations. A short pilot without an incident does not prove incident reduction.

Output to agree: A small set of benefit hypotheses with baseline, attribution and a realisation owner.

Time and flow

Less searching, typing, radio traffic, hand-over time, waiting for an expert or repeat work.

Cost and capacity

Released productive capacity, avoided contractor hours, reduced incident cost, downtime or waste.

Knowledge transfer

Faster access to approved expertise, shorter ramp-up, consistent procedure execution and fewer missed conditions.

Quality, safety and trust

Higher documentation completeness, fewer errors, better traceability, safer escalation and measurable learning loops.

Benefits hypothesis register

Benefit hypothesisCurrent baselineExpected changeHow it will be measuredBusiness ownerAction
7

Calculated benefits

Make the assumptions visible. Separate economic value, cashable savings and the cost of delivering them.

Use a defensible, non-overlapping model

Calculate eligible task volume first, then the expected net time reduction and adoption. Include corrections, confirmation and handovers in the proposed task time. Use a loaded hourly cost agreed with the client; exclude benefits already counted elsewhere.

A cashable share is the portion tied to a planned reduction in a specific expense. Capacity can be valuable even when that share is zero. Avoided errors and downtime may also be non-cash benefits. Obtain budget-owner approval before describing any value as cash savings.

Output to agree: a traceable base case, a lower-adoption downside case and the evidence needed to validate both. Monetary outputs are estimates, not commitments.

7.1 Eligible activity and expected change

Do not pre-discount users for adoption.
Use the same task definition as the KPI baseline.
End-to-end baseline, including after-work.
Replace with this cohort’s actual work calendar.
(Baseline time − future time) ÷ baseline time.
Applied once to task volume; not a second user discount.
One selected currency; include agreed employment overhead.
Changing the label does not convert amounts.

7.2 Other annual benefits and cashability

Enter only incremental benefits attributable to this use case, already adjusted for planned adoption. Do not re-enter labour or downtime counted in another benefit line.

Expected reduction, not all current errors.
Exclude labour or downtime already counted.
Use an agreed attribution and baseline.
Use approved marginal loss, not unqualified revenue.
Identify each component in the assumptions below.
Overtime/contractor or other expense actually removed.
Weighted share of error, downtime and other benefits.
Applies to all benefits after adoption; 80 means a 20% haircut, not an 80% probability.

7.3 Cost, timing and realisation

Include discovery, integrations, source preparation, devices, testing, rollout and change management.
Speech/AI and telephony usage, hosting, licences, support, evaluation and knowledge upkeep.
Benefits ramp only. The model charges full annual run cost in each year.

Indicative value case · no automatic approval
Annual hours released
0 h
After adoption; before evidence adjustment
Capacity value
€0
Hours × loaded cost; not automatically cash
Gross annual economic benefit
€0
Capacity plus other benefits × evidence factor
Net annual economic benefit
€0
Steady-state gross less annual run cost
Economic payback
—
Net benefits, run costs and year-one ramp
Three-year net economic value
€0
Year-one + years 2–3 net benefit, less upfront cost
Three-year economic ROI
—
Net value ÷ all three-year costs
Evidence adjustment
100%
An assumption adjustment, not a probability
Net annual cashable benefit
€0
Only budget-owner-approved cashable shares
Cash payback
—
Based on net cashable benefits and ramp
Year-one net value
€0
After ramp, full run cost and upfront cost
Three-year total cost
€0
Upfront cost + three full years of run costs
Model rules:
Hours = users × events/day × minutes/event × operating days × time reduction × adoption ÷ 60.
Gross economic benefit = (hours × hourly cost + error + downtime + other benefit) × evidence adjustment.
Cashable benefit = (capacity value × capacity cashable share + other benefits × other cashable share) × evidence adjustment.
Net annual benefit = gross benefit − annual operating cost. Year one applies its realisation factor to gross benefits, then deducts full operating cost.
Three-year net value = year-one net + 2 × steady-state net − one-off cost. ROI = three-year net value ÷ (one-off cost + 3 × operating cost).
Payback accumulates net benefits after running costs; it uses a uniform rate within year one, then the steady-state rate. “Not achieved” means no recovery under these assumptions. Values beyond 36 months extend beyond the three-year evaluation window.
Limitations: constant prices and costs; no tax, discounting, inflation, residual value or growth. Zero defaults mean “not entered”, not verified absence of cost. Show a downside case with lower adoption/time savings and higher support cost before committing.

Worked example — entirely hypothetical

100 users × 2 events/day × 8 minutes × 220 days × 50% time reduction × 70% adoption ÷ 60 = 2,053 hours/year. At €50/hour, capacity value is €102,667. Add €5,000 of separate error savings; apply an 80% evidence adjustment to obtain €86,133 annual gross value.

With €24,000 annual run cost, €40,000 upfront cost and full year-one realisation: net economic benefit ≈ €62,133/year; economic payback ≈ 7.7 months. If only 50% of capacity and 100% of the error savings are cashable, net cashable benefit is ≈ €21,067/year; cash payback ≈ 22.8 months. The difference matters in a budget discussion.

8

KPIs served

Choose a small, balanced KPI set: business outcome, user adoption, answer quality, operational resilience and safety/compliance.

Specify the denominator, not just the KPI name

For each KPI define the formula, population, period, baseline, target, evidence source and owner. Keep business outcomes separate from technical quality. Agree a comparison period or matched task group and report by language, site, task difficulty and device where relevant.

Output to agree: A baseline and acceptance method that can support a go/hold decision.

KPI familyUseful operational definitionMeasurement caution
Task time / completionMedian and p95 end-to-end time; completed eligible tasks ÷ attempted eligible tasks.Include correction, confirmation, escalation and after-work.
Answer qualityFully supported and complete answers ÷ sampled answerable cases, independently reviewed.Also test missing information, exceptions, false refusals and source freshness.
Safe escalation / action integrityCorrect escalations ÷ cases requiring escalation; verified target-system outcomes ÷ attempted actions.Wrong-recipient, unauthorised or duplicate writes need separate stop rules.
Adoption / knowledge transferWeekly active pilot users ÷ eligible pilot users; independent competency on a defined task.Usage and satisfaction alone do not prove learning or business value.
Voice / service reliabilityCritical ID/number capture accuracy; session completion; end-of-speech-to-first-meaningful-response p95.Report noisy conditions, accents, retries and outages separately.
Candidate KPI families

Pilot KPI register

KPIBaselineTarget / guardrailData sourceOwner & cadenceAction
Quality guardrail: for high-risk use cases, track not only “answer success” but also evidence coverage, incorrect-confidence rate, escalation correctness and any unsafe action or missed-stop condition.
Part C / 09–10 Connect governed knowledge and systems
9

Types of data used as knowledge base

List the knowledge sources, their owners and their reliability. The voice experience can only be as trustworthy as the governed knowledge behind it.

Separate what should happen from what did happen

Policies and approved procedures define expected behaviour; incident reports and expert observations describe particular events. Preserve that distinction. A report must not silently override a current normative instruction.

  • Documents: retain tables, headings, conditions, units, version dates and source references.
  • Structured records: retain entity identifiers, field meanings, permissions and timestamps.
  • Live information: retrieve at the required freshness; define what happens if the source cannot be reached.
  • Tacit knowledge: capture with permission, identify the expert, review the claim and its applicability, then approve it before reuse as authoritative guidance.

Organise knowledge so it can be spoken accurately: short explanations, clear conditions and evidence available on request. Do not discard qualifiers to make answers shorter.

Output to agree: A source inventory, freshness rules and an owner for approval and change.

Knowledge categories likely to be used

Knowledge-source register

For a pilot, start with the smallest set of sources that can fully answer the selected use case. Preserve source references, versions and approvals.

Source / content familyExamples / scopeOwnerUpdate frequencySensitivity / classificationQuality / gapsAction
10

Data environments accessed

Identify the systems, access boundaries and integration direction. Separate knowledge retrieval from transaction execution.

Scope each integration as a separate contract

Knowing a system name is not proof of access. For each environment identify the exact product/module, version, object or endpoint, owner, tenant/site boundary, permissions, freshness and expected traffic. Ask for a supported access method, sample payload and sandbox; API availability, licensing and approvals must be confirmed with the client/vendor.

Enforce the user’s data permissions throughout retrieval, caches and actions. Retrieved text is data, not authority to alter system instructions. A voice confirmation does not replace server-side authorisation.

Output to agree: An integration register plus approved data flows, access and retention boundaries.

EnvironmentWhat to identifyEvidence / boundary to confirm
SAPExact system/module; asset, work order, material, inspection or other required object.Owner-approved API/export, business identifiers, role permissions, sandbox and read vs write boundary.
IsoMetrixExact product/version and relevant risk, inspection, incident or action records.Supported integration method and license, site/entity permissions, sensitive records and update workflow.
Excel / CSVAuthoritative workbook/sheet, column meaning, keys, units and data steward.Version owner, duplicates, refresh cadence, formulas vs displayed values and controls on simultaneous edits.
Other systemsSharePoint/DMS, CMMS, CRM, database, BI or live telemetry.System of record, data contract, sensitivity, supported interface, availability and revocation/deletion handling.
Candidate data environments

Integration and access register

Environment / systemInformation or action neededRead / write / draftAccess pathIdentity / permission modelData owner & constraintsAction
Safe staging model: begin with approved read-only data, show the source/evidence used, and keep all actions as human-approved drafts until the control model is proven.

IT handover for this workbook

Local JavaScript and downloads must be permitted. No automatic external calls are made; reference links below require a deliberate click. Browser drafts and exported files are not encrypted or access-controlled by this workbook. Use the client’s approved storage and sharing controls.

If hosted internally, IT should set authentication, transport security and security headers. W3C specifies that frame-ancestors cannot be enforced by an HTML meta policy; it belongs in the server-delivered policy. Do not weaken corporate browser or server policies to make this file run. W3C: CSP delivery via meta.

Decision Agree the next commitment
✓

Scope decision and next step

Turn the completed workbook into a concise, accountable decision rather than an open-ended technology discussion.

Make the next commitment explicit

A pilot tests the weakest assumptions in a bounded workflow. Agree a representative cohort and source set, baseline collection, scripted tests, controlled live use and a final evidence review. Keep a route back to the approved current process.

Before scaling, confirm the service owner, support budget, monitoring, knowledge maintenance, security approval and deployment/change process. Treat extra sites, languages, source families and write actions as scope changes requiring review.

Output to agree: proceed, targeted further discovery or hold — with an owner, due date and evidence-based reason.

Decision brief

Automatically reflects the relevant entries in this workbook. It is a summary, not an approval or a quality score.

Decision sought

Not yet recorded

Business problem

Not yet recorded

Expected outcome

Not yet recorded

Pilot scope

Not yet recorded

Explicit exclusions

Not yet recorded

User group

Not yet recorded

Primary voice channel

Not yet recorded

Indicative steady-state value

Not yet recorded

Sponsor / decision date

Not yet recorded

Acceptance criteria

Not yet recorded

Open blockers

Not yet recorded

Next action

Not yet recorded

Readiness for the proposed next step

Mark Unknown or Blocked openly. “Ready” records the owner’s assessment; attach approval evidence in the notes, not just a checkbox.

Sponsor and finance owner agree the baseline, benefits and cost basis.
Owners approve representative sources, permissions, authority and freshness.
Representative devices, network path and approved system access are validated.
Critical failure cases have tests, stop rules, escalation and accountable review.
Pilot users, support, training, evaluation owner and exit/recovery process are ready.