What Deckr Can Do
*A plain-English guide to Deckr's capabilities, written for clients and prospects.*
In one sentence
Deckr turns a raw survey data file into a finished, client-ready PowerPoint report — charts, written analysis, recommendations and all — in a couple of minutes, built on your own branded template so it looks like your team made it.
How it works, from your side
1. Upload your survey data. Drop in the export from whatever platform you used.
2. Deckr reads the file and proposes a plan. It works out what kind of study this is, which questions matter, and how the report should be structured — and shows you that plan so you can adjust it before anything is built.
3. Add a short brief. The study name, the audience, and the key message or business question you want answered. Most of this is optional.
4. Click generate. Deckr builds the deck and you download a finished PowerPoint file.
The whole thing is designed to need no manual slide-building afterwards.
What kinds of data Deckr accepts
You can upload survey data in any of these forms, and Deckr figures out the structure automatically — it reads the actual content of the file, not just the file name:
- Excel (
.xlsx) — one row per respondent
- CSV — one row per respondent
- SPSS data files (
.sav) — including value labels and weights
- Qualtrics exports — the standard multi-row-header format
- Decipher / Forsta cross-tab tables — the pre-tabulated banner tables agencies export, with all their significance testing preserved
It also handles real-world messiness: unusual text encodings, foreign-language question labels (English, French, German, Spanish), and survey-platform column codes are all dealt with automatically.
Optional extra files you can add:
- A cross-tab / banner table file — to drive audience segmentation comparisons
- A previous-wave data file — so the deck automatically shows change over time
- Your own PowerPoint template — so the deck inherits your fonts, colours, layouts and branding
- Your logo — placed automatically
File formats Deckr does not read today: IBM Dimensions (.mdd/.ddf), SPSS portable (.por), raw PDF or XML. If you upload one of these, Deckr tells you clearly rather than producing a broken deck.
What kinds of studies Deckr understands
Deckr automatically recognises the type of study from your data and tailors the report accordingly. You can also pick or change the type yourself. The supported study types are:
- Post-event / experience surveys — satisfaction, Net Promoter Score, return intent, importance ratings, attendee verbatims, and rebooking recommendations.
- Brand tracking — the full brand funnel (awareness → consideration → preference → usage → advocacy), brand image attributes, competitor comparison, and wave-on-wave movement.
- Concept & copy testing — concept scorecards (appeal, purchase intent, uniqueness, relevance, believability) with clear "go / refine / kill" read-outs. Purchase-intent scores are reported correctly and never confused with NPS.
- Usage & attitudes — usage frequency, consumption occasions, category and brand repertoire, and attitudinal statements — described as they are, not forced into a satisfaction or scoring frame.
- Customer satisfaction / CX — correctly-scaled satisfaction metrics, touchpoint and attribute diagnostics (Top-2-Box), NPS where it was genuinely asked, and prioritised improvement recommendations.
- Other / bespoke quantitative — segmentation, media and channel studies, and one-off designs. Deckr produces an honest, data-led report and clearly flags anything it could not confidently classify, rather than inventing a metric.
Two bespoke designs get purpose-built analysis rather than a raw chart-dump:
- Pricing studies — Deckr recognises a Van Westendorp price-sensitivity design (the four "too cheap / a bargain / getting expensive / too expensive" questions) and builds the price-sensitivity curves with the optimal and acceptable price points read straight off them, and a Gabor-Granger price ladder as a demand curve with the buyer rule stated on the slide. Every price and revenue figure is calculated in-house — never invented — and if the design doesn't fully reconstruct, Deckr shows the raw distributions and says so rather than half-building a curve.
- Trade-off studies (MaxDiff / choice) — Deckr produces a counting analysis: a best–worst preference ranking for MaxDiff, and aggregate choice shares for a simple choice design, ranked most to least preferred. The method is named plainly on the slide as a counting analysis, so a preference ranking is never mistaken for a modelled estimate.
What's in the finished deck
Every deck is built from your data with no figures invented — every number on a slide is calculated directly from the file. Deckr's role is to compute the numbers and write the analysis around them; it never makes up statistics.
The written analysis includes:
- A clear headline answer to the business question, up front
- An executive summary of the key findings
- A connecting storyline that threads themes across questions, rather than a disconnected chart-dump
- A "so what" — the commercial implication — on the finding slides
- Specific, prioritised recommendations with owners, metrics and timeframes
- Honest caveats where sample sizes are small or evidence is thin
The charts and slides include:
- Automatically-chosen chart types that fit each question (rating scales, NPS distributions, agreement scales, multi-select bars, category breakdowns, numeric distributions)
- Rating batteries and grids consolidated into single clean charts instead of dozens of separate slides
- Verbatim / open-text slides, including thematic coding that groups comments into themes with sentiment (positive / neutral / negative) and representative quotes
- A composite respondent-profile slide instead of a wall of screener questions
- A data-verification appendix
Deeper analysis, when the data supports it:
- Key-driver analysis — where a study has an overall measure (satisfaction, NPS, likelihood to return) alongside a battery of attribute ratings, Deckr works out which attributes are most closely associated with that overall measure — the *derived importance* of each — and ranks them. The method is stated on the slide.
- A priority quadrant (importance vs performance) — the same drivers plotted on an action map, so it's immediately clear which attributes to fix first, which to protect, and which are lower priority.
- Trend lines over time — for a tracker with three or more comparable waves, Deckr draws the movement as a trend line and marks the wave-on-wave changes that are statistically significant, so real movement is separated from noise.
Significance testing: where your data already contains significance results (for example in Decipher/Forsta banner tables), Deckr displays them as ▲/▼ markers against the total. It shows the testing you ran — it never silently re-runs or changes your significance calculations.
Honesty safeguards built in: base sizes shown on every chart, small-base warnings (e.g. flagged when under 30 or under 50 respondents), footnotes when answer lists are truncated, and clear notes when a question couldn't be charted — nothing is dropped silently. Every deck must pass an automatic quality check before you're allowed to download it.
Working with segments, markets and waves
- Audience segmentation — compare findings across audiences or segments, driven from a banner/cross-tab file.
- Segment pen portraits — Deckr can produce a per-segment dashboard that profiles each segment against the total: side-by-side bars, an index score showing how far above or below the average the segment sits, and significance markers on the differences that matter.
- Multi-market — if your data has a country or market column, Deckr can produce one overall deck plus a separate deck per market, delivered together as a ZIP.
- Custom cuts — you can name any set of cuts (for example "Female 25–34", or combined conditions) and get one deck per cut.
- Tracking over time — Deckr detects waves automatically (either from a wave column in your file or from a previous-wave file you upload) and reports the change, wave on wave.
- Weighting — if your data already contains a weight column, Deckr applies it to all the figures automatically.
Branding
Upload your own PowerPoint template and Deckr builds the report *inside* it — inheriting your layouts, placeholders, theme fonts and colours — so the output looks like it came from your own team. You can also just set brand colours, a font and a logo if you don't have a full template.
House conventions from a reference deck (onboarding). As part of getting you set up, you can hand Deckr one of your existing finished decks and it will learn your house conventions from it — how you show significance, how you word base-size footnotes, how many decimal places you use, how you sort results — so new decks match your established style, not a generic default.
Output formats
- A finished PowerPoint (
.pptx) file with native, fully-editable charts (you can keep editing in PowerPoint afterwards)
- A data-tables Excel (
.xlsx) book — every question crossed by your demographic banner, significance-tested against the total, with NET / Top-2-Box and base rows, exported as a formatted workbook. You can ask for the deck, the tables, or both together.
- A ZIP bundle of multiple decks when you've asked for multi-market or multi-cut output
For teams and platforms
- Team accounts — multiple users per organisation with roles (Owner, Admin, Editor, Viewer), projects/folders to organise work, and controlled access so people only see the projects they're given.
- Developer API — platforms and partners can send a survey file and brief to Deckr programmatically and get back a finished deck via a secure download link, including completion notifications. This lets Deckr be embedded inside another product's workflow.
The short version of why it's different
- It produces consultant-grade analysis, not just a chart dump — a real storyline, implications and recommendations.
- It is honest by design — every figure is computed from your data, significance is taken from your own tables, and limitations are stated rather than hidden.
- The output looks like yours — built on your template, indistinguishable from a deck your own team would assemble.
- It is fast — a finished deck in minutes rather than days of manual analysis and slide-building.