{"slug":"employee-survey-synthesis","name":"Employee survey synthesis","category":"Human Resources","customer":"People experience leads at mid-sized organizations","problem":"Open-ended feedback is slow to interpret and can expose individuals.","value":"For people experience leads at mid-sized organizations, turn authorized survey responses and aggregation thresholds into aggregated employee feedback report. Address the recurring problem: open-ended feedback is slow to interpret and can expose individuals. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.","format":"Evidence-backed analysis and reporting workspace","screens":"Key screens: Theme dashboard, protected excerpts, action plans. Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. In this product, the first view is theme dashboard, followed by protected excerpts and action plans.","functionality":"1. Group feedback themes. 2. Suppress small groups. 3. Remove identifying detail. 4. Preserve dissent. 5. Compare consistent survey waves. 6. Assign improvement actions.","workflow":"Agree definitions, import authorized data, validate coverage and identifiers, compute transparent measures, group relevant evidence, review findings, assign investigations or improvements, and repeat on a comparable period. Start with authorized survey responses and aggregation thresholds and finish with aggregated employee feedback report.","ai":"Classify text, summarize evidence and propose explanations to investigate. Compute financial or operational measures with deterministic code. Separate observed patterns from causal claims and preserve examples that contradict the summary.","inputs":"Authorized survey responses and aggregation thresholds","deliverables":"Aggregated employee feedback report","admin":"Dataset permissions, field mappings, metric definitions, source drill-down, saved filters, reviewer annotations, recurring reports and action ownership.","mvp":"Begin with people experience leads at mid-sized organizations and one recurring use case. Build the first two modules: group feedback themes; suppress small groups. Provide operator assistance for the third module: remove identifying detail. Deliver aggregated employee feedback report through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.","expansion":"After paid pilots establish value, automate the remaining modules: preserve dissent; compare consistent survey waves; assign improvement actions. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.","usp":"Privacy-aware summaries that retain meaningful disagreement.","defensibility":"Domain-specific definitions, trusted source mappings and a history connecting findings to actions and observed results. For this solution, build around privacy-aware summaries that retain meaningful disagreement. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.","alternatives":"Analysts, business intelligence dashboards, spreadsheets and general text summarization tools. Differentiate on this specific proposed advantage: privacy-aware summaries that retain meaningful disagreement. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.","revenue":"Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges.","costs":"Data preparation, reconciliation, classification, expert interpretation, customer-specific definitions and recurring reporting support.","integrations":"Approved HR documents, employee directories and learning records. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. These are candidate integration categories, not verified supported connectors.","dependencies":"Stable identifiers, consistent metric definitions, deterministic calculations, source lineage and representative review samples. Poor coverage must remain visible.","pilot":"Analyze one historical period and review findings with the responsible domain owner. Reconcile headline measures, inspect counterexamples and ask the buyer to choose a concrete follow-up action. For this solution, use authorized survey responses and aggregation thresholds and evaluate aggregated employee feedback report. Agree success thresholds with the buyer before starting; collect a baseline for reviewer agreement, implemented actions. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.","plan30":"Week 1: interview five prospective buyers in this segment: people experience leads at mid-sized organizations. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: a de-identified survey synthesis sample. Week 3: present it through employee experience consultancies and seek one narrowly scoped paid pilot. Week 4: review reviewer agreement, implemented actions, total delivery effort and a concrete renewal decision before increasing scope.","metrics":"Reviewer agreement, implemented actions","channels":"Employee experience consultancies","leadMagnet":"A de-identified survey synthesis sample","message":"Employee survey synthesis for people experience leads at mid-sized organizations. Privacy-aware summaries that retain meaningful disagreement. Demonstrate the claim through a de-identified survey synthesis sample.","retention":"Repeat the same definitions each reporting period and track whether findings lead to useful action. Expand data sources without breaking historical comparability.","controls":"Keep employee data access explicit and confidential. Use human judgment for personnel decisions and do not infer protected traits or hidden personal characteristics. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.","crossSector":"Education; Operations; Science and Research","fn":["Group feedback themes","Suppress small groups","Remove identifying detail","Preserve dissent","Compare consistent survey waves","Assign improvement actions"],"sc":{"opp":8,"pain":8,"feas":9,"now":8},"phases":[{"name":"MVP","scope":"One buyer segment, one recurring use case; first modules: group feedback themes; suppress small groups. Manual review in the loop.","time":{"days":3,"label":"3 days"},"usd":6000},{"name":"Paid pilot","scope":"Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.","time":{"days":4,"label":"4 days"},"usd":6000},{"name":"Full product","scope":"Remaining modules: preserve dissent; compare consistent survey waves; assign improvement actions. Self-serve onboarding, billing, monitoring and the wider integration set.","time":{"days":7,"label":"7 days"},"usd":8500}],"running":[{"stage":"MVP and paid pilot","note":"about 3 customers","hosting":[30,60],"ai":[80,160],"total":[110,220]},{"stage":"Full product","note":"about 50 customers","hosting":[110,210],"ai":[880,1750],"total":[990,1960]}],"total":20500,"complexity":0.15,"days":14,"shot":true,"demo":true}