Tilbudgivern Mission

Last updated: 2026-03-29

North Star

Tilbudgivern exists to make quote creation so fast and reliable that a carpenter can stand with the customer, measure the roof, note a few project facts, and leave with a strong quote draft the same day.

The product should work equally well on:

mobile phone on site
laptop in the van
desktop in the office

Core Mission

Minimize friction in the field. The carpenter should only need a few inputs to get started:

customer/address
project type
roof type/material
length/width/pitch or rough area
short customer note

Reuse as much real data as possible. Tilbudsgiveren should prefer real historical evidence over empty forms:

local Tilbudgivern project history
synced Ordrestyring history
previously used Smart Packages
previously accepted/sent offers

Make Smart Packages the operational backbone. Smart Packages should be:

quick to choose
easy to edit
grounded in real carpenter work
structured with materials, tasks, hours, and pricing

Let AI help with language, not fake facts. AI should:

fix spelling and messy notes
structure rough carpenter input
produce sharp, customer-friendly offer text
explain the work clearly

AI must not:

invent measurements
invent prices
silently change quantities, rates, or totals
fabricate work not present in project/package data

Make the system improve through usage. Every completed quote flow should create reusable learning signals:

what package was suggested
what package was chosen
what materials/tasks were changed
what text was accepted
which historical cases were used

The system should get better over time as more quotes are created.

Product Principles

Field-first beats backoffice-first.
Prefill beats blank state.
Editable beats locked automation.
Real history beats generic AI.
Short path to first useful draft beats perfect initial completeness.
Structured project data beats free-text prompts.

What “Good” Looks Like

A carpenter can:

create a project in under 2 minutes
get a relevant Smart Package recommendation automatically
receive suggested materials and hours from similar jobs
generate a customer-ready quote draft from structured data
correct mistakes quickly before sending
leave the quote in a clear persisted status before sending to Ordrestyring

Implementation Direction

When choosing features, architecture, or UX, prefer work that moves the product toward:

quick quote flow
strong historical matching
local sync and reuse of Ordrestyring data
structured quote generation
mobile-friendly editing and confirmation
persisted workflow states that match the real carpenter journey
visible material pricelist freshness from synced supplier/import data
measurable learning from accepted/edited quotes

Non-Goals

Avoid optimizing primarily for:

long admin workflows before first quote value
AI-generated content without structured project grounding
rigid package systems that are hard for carpenters to override
flows that assume office-only usage

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